Databricks currently has 122 active AI-related job listings. The majority of these roles are focused on agents, accounting for 37% of the total, followed by serving infrastructure at 25% and application at 24%. Engineering is the dominant function, with 106 listings. The company is primarily hiring in the United States, with 80 roles, and India, with 12 roles. Frequent technology tags include model serving, agent orchestration, and inference infrastructure. In the last 30 days, Databricks has posted 25 new AI roles, representing a 39% increase compared to the previous 30-day period.
Currently tracking 70 active AI roles, with 152 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $219k).
Databricks currently has 131 active AI-related roles in our index. The most common open titles are: AI Engineer - FDE (Forward Deployed Engineer) (10), Resident Solutions Architect - Financial Services (8), Senior Solutions Architect - Lakewatch (5), Staff Backend Software Engineer- (AI Platform) (4), Data & AI Platform Architect (Professional Services) (3). Most positions are in Engineering and Product.
Databricks's active AI hiring is concentrated in: agents (39%), serving infrastructure (24%), application (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Databricks is hiring AI talent in: United States (83 roles), India (12 roles), United Kingdom (8 roles), Germany (5 roles).
Job postings at Databricks most frequently reference: model serving, agent orchestration, rag, inference infra, llm observability.
In the past 30 days, Databricks has posted 30 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Resident Solutions Architect - Digital Native Business This role is for a Solutions Architect focused on helping clients implement big data and AI solutions using the Databricks platform. The role involves data engineering, data science, and cloud technology projects, with a focus on customer engagements and technical project delivery. While AI applications are mentioned, the core craft is data engineering and platform implementation, not direct AI/ML model building. | — | 5 |
| Engineering Manager - Data Visualization Platform Engineering Manager for Databricks' Data Visualization team, focusing on an AI-first authoring experience for business users. The role involves leading a frontend engineering team, talent development, strategic execution of the AI/BI product vision, and ensuring operational excellence for the visualization platform. Key responsibilities include managing technical debt, balancing roadmaps with agentic authoring, and collaborating with Product Management, Design, and AI Research teams. | — |
| Sr. Staff Software Engineer — Observability, Insights & Governance Databricks is seeking a Sr. Staff Software Engineer to lead strategy and execution for observability, insights, and governance on their data and AI platform. The role involves setting technical direction, designing high-impact projects, building next-generation agentic experiences for diagnostics and action, and partnering with various teams to integrate visibility and governance. The engineer will mentor senior staff, set technical standards, and champion reliable software and operational practices. Experience with large-scale distributed systems, observability, governance platforms, or databases is required, with a bonus for experience building agentic experiences using LLMs. | AgentServe | 5 |
| Sr. Staff Software Engineer — Observability, Insights & Governance Databricks is seeking a Sr. Staff Software Engineer to lead strategy and execution for observability, insights, and governance across their data and AI platform. The role involves setting technical direction, designing high-impact projects, building next-generation agentic experiences for diagnostics and action, and partnering with various teams to integrate visibility and governance. The engineer will mentor other senior engineers and champion reliable software practices. Experience with large-scale distributed systems, observability/governance platforms, and computer science fundamentals is required. Bonus points for experience with agentic experiences using LLMs. | AgentServe | 5 |
| Sr. Solutions Engineer - AI Natives Business This role is for a Sr. Solutions Engineer on the AI native team supporting the Digital Natives business. The engineer will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using the Databricks platform and APIs. They will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions. Responsibilities include partnering with the sales team, providing technical leadership, consulting on Big Data architectures, implementing proof of concepts for strategic projects spanning data engineering, data science, machine learning, and SQL analysis workflows, and validating integrations with cloud services and third-party applications. The role also involves becoming an expert in and promoting Databricks-inspired open-source projects. | — | 5 |
| Senior Data Scientist Senior Data Scientist at Databricks to build a data-driven culture by solving product and business challenges, dogfooding Databricks products, and driving future product direction. Responsibilities include usage forecasting, product analytics, user behavior analysis, stakeholder management, and mentoring junior data scientists. Requires experience applying Data Science/ML in production, familiarity with product analytics, strong coding skills (Scala/Python), and proficiency with distributed systems like Spark. | Ship | 5 |
| Lead GTM Enablement & Scale Architect, Lakebase Lead GTM Enablement & Scale Architect for Lakebase, a managed PostgreSQL database for AI applications and agents. This founding role involves creating the end-to-end enablement strategy for field engineers and partner technical sales, translating product capabilities into customer outcomes, and driving a 'builder-first' culture. Responsibilities include building scalable demo environments, establishing feedback loops with Product/Engineering, designing competitive narratives, and creating multi-format enablement assets. The role emphasizes using AI tools for content generation, building AI-powered tools for the field (agents, role-plays), and defining KPIs for field readiness. A portion of time will be spent in customer-facing interactions. Requires 8+ years of experience in solutions architecture, technical pre-sales, or enablement, with deep knowledge of databases and distributed systems, and a builder mentality. Familiarity with the data and AI ecosystem, including vector databases and AI/ML serving patterns, is expected. Nice-to-haves include experience at high-growth infrastructure companies, hands-on experience with Databricks or similar platforms, and experience building AI applications on operational databases. | Agent | 5 |
| TA Operations Associate (Contract) This role supports the day-to-day operations of a global recruiting function, focusing on maintaining and improving processes, tools, and reporting. It involves leveraging AI and automation to streamline workflows, enhance data quality, and optimize the recruitment lifecycle. Key responsibilities include leading initiatives, resolving inquiries, administering recruiting tech stack, contributing to process improvements, supporting onboarding/training, coordinating programmatic efforts, creating reports, and conducting data audits. The ideal candidate has strong organizational skills, basic project management abilities, effective communication, a detail-oriented mindset, proficiency in data analysis and reporting, adaptability, and an understanding of the recruiting lifecycle. | — | 5 |
| Delivery Solutions Architect - Public Sector This role is a Delivery Solutions Architect for Databricks' Public Sector clients. The primary focus is on accelerating the adoption and growth of the Databricks platform by providing post-sale technical leadership, ensuring customer success, and maximizing the value customers derive from their Databricks workloads. The role involves a hybrid of technical and commercial responsibilities, including engaging with customers, building executive relationships, orchestrating internal teams, and developing technical strategies and execution plans. While the company is in the AI space, this role is customer-facing and focused on platform adoption and success, rather than direct AI/ML model development or research. | — | 5 |
| Sr. Solutions Architect - Public Sector (SLED) Solutions Architect role focused on leading the adoption of the Databricks Unified Analytics Platform for public sector clients. Responsibilities include partnering with sales, providing technical leadership, consulting on big data architecture, implementing proof of concepts, building reference architectures, and promoting open-source projects. Requires experience in cloud platforms, data engineering, data analytics, and data science/ML, with a focus on customer-facing pre-sales or technical architecture roles. | — | 5 |
| Sr. Delivery Solutions Architect - High-Tech & Manufacturing This role is a hybrid technical and commercial position focused on accelerating customer adoption and success with the Databricks Data Intelligence Platform, particularly for complex customers in high-tech and manufacturing. The Solutions Architect will act as the post-sale technical lead, driving customer engagement, technical strategy, onboarding, enablement, and ensuring healthy consumption of Databricks workloads. The role requires strong technical credibility, project management, and stakeholder management skills to navigate customer organizations and internal Databricks teams. | — | 5 |
| Delivery Solutions Architect - High-Tech & Manufacturing This role is a hybrid technical and commercial position focused on accelerating customer adoption and success of the Databricks Data Intelligence Platform, particularly for complex customers in high-tech and manufacturing. The Delivery Solutions Architect (DSA) acts as a post-sale technical lead, driving customer engagement, technical strategy, and ensuring successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project delivery experience in data and AI, and the ability to manage complex customer escalations and stakeholder relationships. | — | 5 |
| Sr. Solutions Architect - AI Natives Business Solutions Architect on the AI native team supporting the Digital Natives business, shaping the future of the big data landscape by working with data engineering and data science teams. Collaborates with customers, product teams, and the broader customer-facing team to develop architectures and solutions using the Databricks platform and APIs. Guides customers through the competitive landscape, best practices, and implementation, and develops technical champions. Consults on Big Data architectures, implements proof of concepts for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows, and validates integrations with cloud services, home grown tools, and other 3rd party applications. Becomes an expert in, promotes, and recruits contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow). | Serve | 5 |
| Delivery Solutions Architect - Digital Native Business This role is a post-sale technical lead for Databricks customers, focusing on accelerating the adoption and maximizing the value of the Databricks platform, particularly in data and AI workloads. It involves technical account strategy, issue resolution, and coordination with sales, engineering, and support teams to ensure customer success and consumption of Databricks products. | — | 5 |
| Delivery Solutions Architect - Digital Native Business This role is a post-sale technical lead for Databricks customers, focusing on accelerating the adoption and maximizing the value of the Databricks platform, particularly in data and AI workloads. It involves technical account strategy, issue resolution, and coordination with sales, engineering, and support teams to ensure customer success and consumption of Databricks products. | — | 5 |
| Delivery Solutions Architect - Public Sector This role is a Delivery Solutions Architect for Databricks' Public Sector clients. The primary focus is on accelerating the adoption and growth of the Databricks platform by providing post-sale technical leadership, ensuring customer success, and maximizing the value customers derive from their Databricks workloads. The role involves a hybrid of technical and commercial responsibilities, including engaging with customers, building executive relationships, orchestrating internal teams, and developing technical strategies and execution plans. While the company is in the AI space, this role is customer-facing and focused on platform adoption and success, rather than direct AI/ML model development or research. | — | 5 |
| Director, Field Engineering Director of Field Engineering leading a team of Solution Architects focused on enterprise data and AI initiatives within the Media industry, partnering with sales to drive revenue and customer success. | — | 5 |
| Solutions Architect - Public Sector (SLED) Solutions Architect for Databricks, focusing on the Public Sector (SLED) in Texas. This role involves leading the adoption of the Databricks Unified Analytics Platform, partnering with sales, providing technical leadership, consulting on big data architecture, implementing proof of concepts for data science and ML projects, and building reference architectures. The role requires expertise in cloud platforms, data engineering, data analytics, and data science/ML, utilizing open-source projects like Spark, MLflow, and Delta Lake. It is a customer-facing role requiring travel and building customer relationships. | — | 5 |
| Solutions Architect, Strategic Retail - Central Solutions Architect for Databricks in the retail sector, focusing on pre-sales and driving adoption of ML & AI within large enterprise accounts. The role involves developing technical strategies, building customer champions, and acting as a trusted advisor for data analytics architecture and the Databricks Data Intelligence Platform. | Ship | 5 |
| Sr. Solutions Engineer - Public Sector (DoW - 4th Estate) Sr. Solutions Engineer for Databricks Unified Analytics Platform, focusing on Public Sector clients. Responsibilities include partnering with sales, providing technical leadership, consulting on big data architecture, implementing POCs for data science and ML projects, and building reference architectures. Requires experience in distributed data systems, programming, public cloud, and expertise in Data Engineering, Data Warehousing, or Data Science/ML. | — | 5 |
| Delivery Solutions Architect - Public Sector This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers, particularly in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers to maximize value and ROI from Databricks workloads. This involves engaging with sales and field engineering, building executive relationships, orchestrating internal teams, and developing technical account strategies and execution plans. The role requires strong technical credibility, project management skills, and the ability to resolve complex escalations. | — | 5 |
| Delivery Solutions Architect - Public Sector This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers, building executive relationships, orchestrating internal teams, and driving the successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project management skills, and the ability to navigate Databricks Product and Engineering teams. U.S. citizenship and eligibility for a U.S. government secret clearance are mandatory. | — | 5 |
| Delivery Solutions Architect - Public Sector This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers, particularly in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers to maximize value and ROI from Databricks workloads. This involves engaging with sales and field engineering, building executive relationships, orchestrating internal teams, and developing technical account strategies and execution plans. The role requires strong technical credibility, project management skills, and the ability to resolve complex escalations. | — | 5 |
| Delivery Solutions Architect - Public Sector This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers, building executive relationships, orchestrating internal teams, and driving the successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project management skills, and the ability to navigate Databricks Product and Engineering teams. U.S. citizenship and eligibility for a U.S. government secret clearance are mandatory. | — | 5 |
| Delivery Solutions Architect - Public Sector This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers, building executive relationships, orchestrating internal teams, and driving the successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project management skills, and the ability to navigate Databricks Product and Engineering teams. U.S. citizenship and eligibility for a U.S. government secret clearance are mandatory. | — | 5 |
| Sr. Manager, Field Engineering (Specialist) This role is for a Sr. Manager, Field Engineering (Specialist) at Databricks, focusing on expanding the Databricks lakehouse within the Retail, Consumer Goods & Travel/Hospitality GTM vertical. The manager will lead a team of Specialist Solutions Architects (SSAs), focusing on enterprise software, big data/analytics, data engineering, and data science. The role involves a mix of pre-sales (70%) and post-sales (30%) activities, partnering with sales to drive revenue and customer success. Key responsibilities include growing and maintaining the SSA team, managing hiring pipelines, crushing sales targets by building technical points of view, establishing the lakehouse architecture, identifying use cases, validating consumption demand, and acting as trusted advisors. The role also emphasizes driving customer success, establishing executive alignment, and fostering positive team morale and work-life balance. | — | 5 |
| Delivery Solutions Architect - Startups & Emerging Enterprise This role is a post-sale technical lead for Databricks customers, focusing on accelerating the adoption and maximizing the value of the Databricks Data Intelligence Platform. It involves a hybrid technical and commercial approach, collaborating with sales and field engineering teams, managing customer relationships, and ensuring successful implementation and consumption of Databricks products, including AI/ML workloads. | — | 5 |
| Deployment Strategist This role is a "product manager for the field" within Databricks' Forward Deployed Engineering (FDE) team. The Deployment Strategist (DS) acts as a bridge between customer business problems and Databricks' technical solutions, focusing on winning high-value AI opportunities. The DS is responsible for the non-technical lifecycle of an FDE engagement, including C-suite discovery, value scoping, defining Minimum Viable Products, writing PRDs, managing projects, and driving solutions to adoption. The role requires C-suite gravitas, product thinking, and execution skills, partnering with Sales and FDE Engineers to deliver outcomes. | — | 5 |
| Solutions Engineer Solutions Engineer role at Databricks focused on empowering customers with the Databricks Data Intelligence Platform. The role involves building relationships, acting as a technical advisor, creating working prototypes and demos, and scaling best practices through documentation and workshops. It emphasizes a builder-first approach and leveraging AI tools for productivity. | — | 5 |
| Sr. Executive Assistant Executive Assistant role supporting a COO in a fast-paced tech environment, with a focus on operationalizing initiatives, managing complex schedules, and leveraging AI tools for administrative efficiency, travel planning, and data synthesis. | — | 5 |
| Solutions Architect, Hunter - Digital Native Business Solutions Architect role focused on guiding customers through their data and AI journey using the Databricks platform. This involves collaborating with sales, developing architectures, implementing proof-of-concepts for data engineering, data science, and ML workflows, and promoting open-source projects. Experience with agentic coding harnesses and distributed data systems is required. | AgentData | 5 |
| Sr Staff Product Operations Manager This role is for a Senior Staff Product Operations Manager at Databricks, focusing on architecting the internal operational ecosystem for their Data and AI infrastructure platform. The role involves defining strategic engagement models, analyzing investments, synthesizing data into business insights, and leading the evolution of the product development lifecycle. It requires strong analytical skills, experience in scaling operations, and the ability to translate technical concepts into business strategies. The role supports AI assistant improvements and works with AI platform data. | — | 5 |
| Sr Staff Product Operations Manager This role is for a Senior Staff Product Operations Manager at Databricks, focusing on architecting the internal operational ecosystem for their Data and AI infrastructure platform. The role involves defining strategic engagement models, analyzing investments, synthesizing data into business insights, and leading the evolution of the product development lifecycle. It requires strong analytical skills, experience in scaling operations, and the ability to translate technical concepts into business strategies. The role supports AI assistant improvements and works with AI platform data. | — | 5 |
| Product Marketing Director, Lakewatch Product Marketing Director for Databricks' new native application, Lakewatch, an agentic SIEM for cybersecurity, governance, and risk teams. The role focuses on defining and executing the go-to-market strategy, driving adoption, establishing market leadership, and improving sales effectiveness. | — | 5 |
| Global GTM Strategy and Scale Architect This role focuses on developing and scaling Go-To-Market (GTM) strategies and enablement for new Databricks product categories, particularly in agentic AI infrastructure and cybersecurity. The individual will build and ship AI-powered enablement tools, design demo environments, and establish feedback loops between Product/Engineering and the field. The role requires a builder mentality, strong product instinct, and the ability to create scalable, multi-format enablement programs. | Agent | 5 |
| Sr. Delivery Solutions Architect - AI Native This role is a Sr. Delivery Solutions Architect focused on AI-native customers using the Databricks platform. It's a hybrid technical and commercial role responsible for post-sale technical strategy, execution, and driving customer success and adoption of Databricks workloads. The architect acts as the technical lead, resolving issues, coordinating resources, and developing execution plans to accelerate use cases into production. | Ship | 5 |
| Sr. Solutions Architect - Strategic AI Native Solutions Architect role focused on guiding 'AI native' customers in leveraging the Databricks platform for data engineering, data science, and machine learning workflows. Involves consulting on architectures, implementing proof-of-concepts, and collaborating with sales and product teams. Requires expertise in distributed data systems, Python/SQL, and cloud providers, with a strong preference for data engineering or ML technologies. | Serve | 5 |
| Sr. Manager, Field Engineering - Public Sector (SLED) This role is for a Sr. Manager, Field Engineering focused on the Public Sector (SLED) segment. The primary responsibility is to lead and grow a team of Solutions Architects, partnering with Sales to drive revenue and ensure customer success with Databricks' offerings, including generative AI. The role requires strong leadership, technical sales experience, and the ability to build and maintain a high-performing technical team. | — | 5 |
| Delivery Solutions Architect - Healthcare & Life Sciences This role is a hybrid technical and commercial position focused on customer success and accelerating the adoption of the Databricks Data Intelligence Platform within the healthcare and life sciences domain. The Delivery Solutions Architect will act as the post-sale technical lead, guiding customers through onboarding, enablement, and successful consumption of Databricks workloads, ensuring they maximize value and ROI. The role involves engaging with sales and field engineering, managing technical account strategy, resolving technical issues, and coordinating with internal teams and professional services. | — | 5 |
| Industry Lead Solutions Architect - Financial Services This role is for an Industry Lead Solutions Architect in Financial Services at Databricks. The primary focus is on defining and executing industry strategy, creating domain-specific assets, driving joint GTM strategy with partners, and engaging with customers to advise on how Databricks solves their challenges. The role involves guiding customers through the use case lifecycle and enabling field teams and partners. While Databricks is an AI company and the role involves positioning Databricks' capabilities, the core function is not building or directly shipping AI/ML models but rather enabling the go-to-market strategy and customer adoption of existing solutions, including AI-powered ones. | — | 5 |
| Delivery Solutions Architect - Financial Services This role is a Delivery Solutions Architect for Financial Services at Databricks. The primary focus is on accelerating customer adoption and maximizing the value they get from the Databricks platform post-sale. It involves a hybrid technical and commercial approach, acting as the post-sale technical lead, driving customer success, and managing technical account strategy and execution. The role requires strong technical project delivery experience in Data and AI, customer-facing experience, and program management skills. | — | 5 |
| Chief of Staff, to the CPO Chief of Staff to the CPO at Databricks, focusing on operational excellence and strategic alignment within the People organization. This role will support the transformation of the People organization into an AI-first function, identifying opportunities to leverage AI for automation, insights, and improved decision-making. | — | 5 |
| Resident Solutions Architect - Digital Native Business This role is for a Resident Solutions Architect on the Professional Services team, focusing on helping clients solve big data challenges using the Databricks platform. The architect will provide expertise in data engineering, data science, and cloud technologies, guiding customers through the design, build, and deployment of big data and AI applications. The role involves customer-facing engagements, technical project delivery, and providing escalated support, with a focus on enabling customers to maximize value from their data. | — | 5 |
| Resident Solutions Architect - Communications, Media, Entertainment & Games This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing and building reference architectures, productionalizing use cases, and consulting on architecture and design for big data and AI applications. While the role involves working with AI applications and MLOps, its core function is in data engineering and platform integration rather than direct AI/ML model development. | — | 5 |
| Resident Solutions Architect - Public Sector This role is for a Big Data Solutions Architect on the Professional Services team, working with clients on short to medium-term engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, creating how-to guides, and productionalizing customer use cases. The role involves consulting on architecture and design, bootstrapping or implementing customer projects, and providing escalated support for operational issues. It requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering value to customers through the Databricks platform. | — | 5 |
| Resident Solutions Architect - Healthcare & Life Sciences This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, productionalizing use cases, and guiding customers in implementing big data and AI applications. The role involves end-to-end design, build, and deployment, with a focus on customer adoption and support. | — | 5 |
| Resident Solutions Architect - Healthcare & Life Sciences This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, productionalizing use cases, and guiding customers in implementing big data and AI applications. The role involves end-to-end design, build, and deployment, with a focus on customer adoption and support. | — | 5 |
| Resident Solutions Architect - Healthcare & Life Sciences This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, productionalizing use cases, and guiding customers in implementing big data and AI applications. The role involves end-to-end design, build, and deployment, with a focus on customer adoption and support. | — | 5 |
| Resident Solutions Architect - Healthcare & Life Sciences This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, creating how-to guides, and productionalizing customer use cases. They will consult on architecture and design, bootstrap or implement customer projects, and provide escalated support for operational issues. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, MLOps, and technical project delivery. | — | 5 |
| Resident Solutions Architect - Healthcare & Life Sciences This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, creating how-to guides, and productionalizing customer use cases. They will consult on architecture and design, bootstrap or implement customer projects, and provide escalated support for operational issues. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, MLOps, and technical project delivery. | — | 5 |