Databricks

This role manages a team of Solutions Architects focused on Financial Services clients, helping them define Data and AI strategies, transform data engineering, analytics, and ML/AI workloads. The manager will partner with sales to grow consumption and win new workloads by enhancing team effectiveness, communicating complex solutions, and building customer relationships.

This role is a hybrid technical and commercial position focused on customer success and accelerating the adoption of the Databricks Data Intelligence Platform. The Delivery Solutions Architect will act as the post-sale technical lead, driving customer engagement, technical strategy, and ensuring successful onboarding, enablement, and consumption of Databricks workloads. The role involves collaborating with sales, field engineering, and internal expert teams to resolve technical issues, create execution plans, and navigate product/engineering teams for innovations. While the company is in the AI space and the role supports AI workloads, the core function is customer-facing technical sales support and product adoption, not direct AI/ML model development or research.

Pre-sales Solutions Engineer role focused on driving adoption of Databricks' ML & AI products within large enterprise accounts by defining and executing technical strategies, working closely with sales teams and technical peers to achieve business outcomes.

This role leads Go-To-Market (GTM) programs for Databricks' Digital Native vertical, focusing on scaling pipeline and consumption. The leader will act as a COO, translating strategy into execution, partnering with sales and field engineering, and influencing product roadmaps. Key responsibilities include owning the operating model, informing product-GTM strategy, synthesizing data-driven feedback, influencing internal leadership, building market presence, evangelizing AI adoption, designing full-funnel programs, creating assets, driving field activation, and measuring commercial outcomes. The role requires a strategic and operational mindset, technical knowledge of Databricks, AI/LLM, and open-source ecosystems, and proven experience building AI systems.

Partner Solutions Architect at Databricks, focusing on enabling partners to leverage the Databricks Data Intelligence Platform for data-driven outcomes. Responsibilities include technical enablement, workshops, architecture design, and solution development using technologies like Apache Spark, MLflow, and Delta Lake.

This role is for a Sr. Manager of Field Engineering focused on the Public Sector (Intelligence Community, Navy, Air Force, Space Force). The primary responsibility is to lead and grow a technical sales team that promotes enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI solutions. The role involves setting strategy, hiring, training, and enabling the team to drive revenue and customer success, with a focus on technical sales and architectural guidance.

This role focuses on connecting Databricks' data and AI solutions to measurable business outcomes within the Financial Services sector. The Business Value Consultant acts as a trusted advisor, partnering with sales teams to articulate and quantify the impact of Databricks' offerings, build business cases, and drive value creation for customers. While the role involves understanding AI and ML's business support, it is not a hands-on AI/ML development or research position.

This role is for a Sr. Product Designer on the Enterprise Platform UX team at Databricks. The team focuses on governance, security, and platform observability. The designer will help shape user experiences for platform admins, focusing on intuitive controls for access and compliance, maintaining a secure environment, and providing insights into platform health. A key responsibility is exploring how Generative AI can enhance the platform experience and developer workflows. The role requires strong product design skills, experience shipping digital products, and the ability to lead complex design projects. Experience in data visualization, analytics dashboards, or designing for complex data monitoring is a plus, as is experience in Cloud, Developer Experience, AI, or Big Data spaces.

This role is a hybrid technical and commercial position focused on accelerating customer adoption and success with the Databricks Data Intelligence Platform. The Delivery Solutions Architect will act as the post-sale technical lead, driving customer engagement, technical strategy, and ensuring healthy consumption of Databricks workloads. While the company is in the AI space, this role is customer-facing and focused on platform adoption rather than direct AI/ML model development.

Sales Specialist Account Executive for Databricks Lakebase, a managed Postgres offering for intelligent applications. The role focuses on driving adoption and revenue for Lakebase by partnering with regional Account Executives, identifying opportunities, and articulating the value proposition to platform, application, and data teams. Success involves driving new revenue, leading complex sales cycles, orchestrating proof-of-values, and enabling field teams.

Sales Specialist Account Executive for Databricks Lakebase, a managed Postgres offering for intelligent applications. The role focuses on driving revenue by selling the value of fully-managed Postgres for operational workloads and AI-native applications, partnering with regional Account Executives and engaging with platform, application, and data teams.

This role focuses on designing and executing sales compensation strategies, leveraging AI capabilities to improve insights and enhance self-service within the GTM Compensation function. The primary goal is to create transparent and motivating compensation systems for the sales organization.

Solutions Architect at Databricks focused on the Public Sector (SLED), leading the growth of the Databricks Unified Analytics Platform. This customer-facing role involves 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. Requires expertise in cloud platforms, data engineering, data analytics, and data science/ML, using open-source projects like Spark, MLflow, and Delta Lake. Experience with public cloud providers and supporting Public Sector clients is essential.

This role is a hybrid technical and commercial position focused on accelerating customer adoption and maximizing value from the Databricks Data Intelligence Platform. The Delivery Solutions Architect will act as the post-sale technical lead, engaging with customers to drive onboarding, enablement, and successful consumption of Databricks workloads. Responsibilities include technical strategy, issue resolution, coordinating with internal teams, and providing updates on customer health and progress.

This role defines and executes GTM strategies for Databricks' partner ecosystem (SI, Cloud, ISV channels). It involves strategic analysis, operational rigor, and translating partner performance into actionable insights. The role will partner across various teams to scale the GTM business, including defining strategy, advising leadership, orchestrating planning, synthesizing executive reports using BI and AI tools, building reporting infrastructure, and driving performance visibility.

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. This customer-facing role involves partnering with sales, providing technical leadership, consulting on big data architecture, executing proof of concepts, building reference architectures, and promoting open-source projects. The role requires expertise in cloud platforms, data engineering, data analytics, machine learning, and AI, and involves guiding customers through implementation to achieve business outcomes.

The Senior Solutions Architect will advise sales teams and customers on the Databricks Lakehouse Platform, helping them achieve data-driven outcomes. This role involves consulting on Big Data architectures, implementing proof of concepts for data engineering, data science, and machine learning projects, and collaborating with product and engineering teams to influence the platform's roadmap. The architect will also promote Databricks open-source projects.

Manager for a team of Solutions Architects in the Data & AI domain, focusing on large strategic customers in India. The role involves leading team expansion, building technical pre-sales capabilities, coaching team members, and positioning Databricks' solutions to customers and prospects.

This role is for a Data & AI Platform Architect within Professional Services, focusing on customer engagements using the Databricks platform. Responsibilities include designing and building data engineering, data science, and cloud technology projects, providing architectural guidance, and ensuring successful adoption of Databricks solutions. The role requires strong data engineering, distributed computing (Spark), and cloud ecosystem experience, with familiarity in MLOps and CI/CD.

This Director role focuses on Go-To-Market (GTM) strategy and execution for Databricks' sales development organization. A key responsibility is to drive the strategy for incorporating agentic AI into critical workflows to boost productivity and ensure seamless lead-to-opportunity processes. The role involves analyzing pipeline, sales development performance, and planning incremental growth programs, resource allocation, and territory planning. It requires partnering with sales, marketing, and other functions to ensure an integrated pipeline motion and supporting the incorporation of new products into demand generation activities.

This role is for a Senior 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 big data and AI applications. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering end-to-end data architectures and scalable solutions.

This role is for a Senior 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 big data and AI applications. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering end-to-end data architectures and scalable solutions.

This role is for a Senior 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 big data and AI applications. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering end-to-end data architectures and scalable solutions.

This role is for a Senior 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 big data and AI applications. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering end-to-end data architectures and scalable solutions.

This role is for a Senior 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 big data and AI applications. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering end-to-end data architectures and scalable solutions.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Partner Solutions Architect for Databricks in Europe, focusing on enabling partners to leverage the Databricks Data Intelligence Platform for data-driven outcomes. This role involves technical enablement, workshops, and solution design, with a core strength in data engineering or data science.

Solutions Architect role focused on guiding technical evaluations and adoption of the Databricks Lakehouse Platform for customers, involving hands-on work with Apache Spark, AI, and Big Data technologies within a sales process.

Sales role focused on driving adoption of Databricks' AI/BI and Genie platform, which enables conversational, AI-powered analytics for enterprise customers. The role involves partnering with Account Executives to identify and close opportunities, engaging with C-level and business leaders, and displacing legacy BI platforms.

Partner Solutions Architect role focused on enabling partners to leverage the Databricks Lakehouse Platform for data-driven outcomes, with expertise in data engineering or data science, and public cloud integration.

Sr. Staff Security Engineer, Incident Response role at Databricks, focusing on leading complex investigations, developing multi-year technology strategy for security posture, and automating security operations using Databricks' platform and AI/automation technologies. The role involves deep expertise in cloud security, digital forensics, and enterprise security incidents.

Solutions Architect for Databricks in the Retail/CPG sector, focusing on demonstrating the value of the Databricks Data Intelligence Platform to clients. The role involves building client relationships, acting as a technical advisor for data and AI architectures, and creating reference architectures and demos. Requires experience in solutions architecture, pre-sales, and a strong understanding of data engineering, data warehousing, AI/ML, GenAI, or AI Agents.

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.

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.