Databricks

Solutions Architect for Databricks in Financial Services, focusing on Wealth and Asset Management. This role involves partnering with sales, providing technical leadership to customers, consulting on big data architecture, executing proof of concepts, and building reference architectures using the Databricks Data Intelligence Platform. The role emphasizes expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI, and promotes open-source projects like Apache Spark, Delta Lake, and MLflow.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements involving big data and the Databricks platform. Responsibilities include designing and building reference architectures, creating how-to's, productionalizing customer use cases, consulting on architecture, and providing escalated support. The role requires experience in data engineering, data platforms, analytics, Python/Scala, cloud ecosystems, Apache Spark, CI/CD, MLOps, and technical project delivery.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements involving big data and the Databricks platform. Responsibilities include designing and building reference architectures, creating how-to's, productionalizing customer use cases, consulting on architecture, and providing escalated support. The role requires experience in data engineering, data platforms, analytics, Python/Scala, cloud ecosystems, Apache Spark, CI/CD, MLOps, and technical project delivery.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements involving big data and the Databricks platform. Responsibilities include designing and building reference architectures, creating how-to's, productionalizing customer use cases, consulting on architecture, and providing escalated support. The role requires experience in data engineering, data platforms, analytics, Python/Scala, cloud ecosystems, Apache Spark, CI/CD, MLOps, and technical project delivery.

Manager for a team of Solutions Architects focused on driving adoption of the Databricks Platform for large, fast-growing tech companies. Responsibilities include team leadership, technical guidance, customer engagement, and collaboration with internal teams. Requires experience in data/AI workloads and leading technical customer-facing teams.

Senior Staff Engineer to architect and lead the long-term technical direction for Databricks' Lakeflow ETL product line, focusing on declarative dataflow graphs, materialized views, structured streaming, and flows. This role involves designing and building next-generation data infrastructure for massive-scale distributed systems.

Network Automation Engineer responsible for designing, developing, and implementing automation solutions for network efficiency, scalability, and reliability using Python, Ansible, Terraform, and CI/CD pipelines. Focuses on scripting, provisioning, monitoring, and integration with broader infrastructure.

Databricks is seeking an experienced Senior Network Engineer to manage and scale campus network infrastructure and zero trust framework. The role involves designing and implementing highly available, redundant, and low-latency networks, developing network automation using Ansible and Terraform, and collaborating with security and compliance teams. Experience with SD-WAN, wireless solutions, and cloud network principles is required.

Director, Field Engineering in Japan to lead first-line Managers and teams of pre-sales Solutions Architects, focusing on complex, strategic accounts and driving expansion in manufacturing and automotive. Partner with Sales to grow product consumption, coach teams, articulate complex solutions, support enterprise sales cycles, and build trusted relationships with senior stakeholders.

Senior Technical Solutions Engineer for Databricks Platform in Singapore, focusing on customer support, issue resolution, and best practices for the unified analytics platform within a Big Data and cloud (AWS/Azure/GCP) environment. Requires strong Python, SQL, and Linux skills, with proficiency in Mandarin and English.

This role provides technical support and guidance for the Databricks unified analytics platform, assisting customers with complex issues, architectural scenarios, and best practices across the Big Data ecosystem. It requires strong application development experience (Python/Java/Scala), SQL, Linux/Unix administration, and cloud platform knowledge (AWS/Azure/GCP).

Databricks is seeking a Director, Field Engineering to lead pre-sales Solutions Architects in the ASEAN region, focusing on driving consumption and supporting complex sales cycles for their data and AI platform. The role involves hiring, managing, and coaching teams to promote value-based selling and build customer relationships.

Solutions Architect role at Databricks focused on customer engagement, technical sales, and demonstrating the value of the Databricks Data Intelligence Platform. The role involves building client relationships, acting as a trusted advisor on architecture and implementation, and scaling best practices through reference architectures and demos. Requires proficiency in Big Data Analytics, coding in a core programming language, and experience with complex solution architecture designs.

Sr. Big Data Engineer role focused on customer engagements using the Databricks Platform to solve big data challenges. Responsibilities include data engineering, data science, and cloud technology projects, building reference architectures, and guiding customers on implementing big data and AI applications. Requires extensive experience with Big Data technologies like Spark and Kafka, cloud platforms, and Python/Scala.

Databricks Solutions Architect for Financial Services in Munich, Germany. Focuses on pre-sales technical advisory for their Data Intelligence Platform, including Data Engineering, Data Warehousing, and Data Science. Requires client relationship management, technical proposition delivery, and expertise in big data analytics. Prior coding experience and cloud platform familiarity are necessary. Financial Services experience is preferred.

Databricks is seeking a Systems PhD - Software Engineer to join their Database Engine team. The role involves designing and implementing systems for query compilation, distributed query execution, vectorized execution, data security, resource management, transaction coordination, and efficient storage structures. The ideal candidate has a PhD in databases or systems and a passion for database, storage, and distributed systems.

Staff Database Engineer to help build the Lakebase product, advising software engineering teams on functional and non-functional feature designs, working with product teams to validate designs, designing operational tools for troubleshooting and enterprise extensions for security and observability, assisting field engineers with POCs, and advising customers on best practices for application and database design to maximize performance.

Databricks is seeking a Staff Database Engineer to build the Lakebase product, focusing on optimizing the database developer experience and integration with the lakehouse. The role involves designing operational tools, enterprise extensions for security and observability, assisting with POCs, and advising customers on best practices for application and database design to maximize performance. Requires 5+ years of experience with Postgres and other database systems, and experience building/operating high-volume OLTP systems.

Databricks is seeking a Systems PhD - Software Engineer to join their Database Engine team. The role involves designing and implementing systems for query compilation, distributed query execution, vectorized execution, data security, resource management, transaction coordination, and efficient storage structures. The ideal candidate has a PhD in databases or systems and a passion for database, storage, and distributed systems.

Manager, Field Engineering leading a team of technical pre-sales Solutions Architects in the ASEAN region, focusing on designing and driving growth through data-driven solutions in Big Data, Cloud, or SaaS environments. Requires a technical background in Data Engineering, Databases, or Data Science and experience leading technical teams.

Databricks is seeking a Staff Technical Producer to lead the execution and evolution of their internal live and hybrid production capabilities. This role focuses on delivering high-quality experiences for employee communications, executive broadcasts, training, and internal events, operating at the intersection of live production, broadcast engineering, and internal tooling. The producer will define workflows, standards, and improve production infrastructure to support global teams, ensuring seamless delivery across various audiences and environments.

Recruiter for Databricks, a data and AI company, focusing on hiring for SaaS software, ideally within the Data and AI space in EMEA.

Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. The role involves defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. The engineer will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane, improving scalability, reliability, and efficiency. This is an org-wide role requiring hands-on technical leadership and the ability to influence architecture and execution across teams, solving novel, multi-cloud distributed systems challenges at massive scale.

Databricks is seeking a Sr. Solutions Engineer in Auckland, New Zealand, to help clients leverage their Data Intelligence Platform. The role involves building client relationships, demonstrating the platform's capabilities through hands-on evaluations and Spark programming, contributing to the technical community, and acting as a Big Data Analytics advisor. The ideal candidate will have experience working with clients, delivering technical propositions, coding in Python, Java, or Scala, and knowledge in Big Data Analytics and public cloud platforms.

This role is for a Sr. Solutions Engineer at Databricks, focusing on demonstrating the company's Data Intelligence Platform to clients. The role involves building client relationships, providing technical value, integrating with the cloud ecosystem, contributing to the technical community, and acting as a Big Data Analytics advisor. Responsibilities include authoring reference architectures and demo applications, with a path to becoming an independently operating Solutions Architect. The ideal candidate has client-facing experience, can deliver technical propositions, identify pain points, and has coding skills in Python, Java, or Scala, with knowledge in Big Data Analytics and public cloud platforms.

Engineering Manager for Databricks SQL Control Plane, leading a team to build the next-generation low-latency, multi-tenanted, cloud-native data warehousing system. Responsibilities include team leadership, hiring, technical discussions, service management, roadmap definition, and cross-functional partnerships.

Solutions Engineer role focused on demonstrating Databricks' Data Intelligence Platform to clients, integrating with cloud ecosystems and third-party applications, and acting as a Big Data Analytics advisor. Requires technical expertise, client relationship building, and pre-sales skills.

Engineering Manager for Databricks' Lakeflow Pipelines team, focusing on building next-generation ETL features and spearheading Agentic Data Engineering infrastructure. Responsibilities include leading a team, recruitment, implementing product vision, managing technical debt, and ensuring high-quality, reliable infrastructure services.

Databricks is seeking a Staff Backline Engineer to join their Platform team. This role acts as a critical bridge between Frontline Support and Engineering, handling complex technical issues and escalations within the Data and AI ecosystem. The engineer will focus on deep analysis, architecting troubleshooting methodologies, championing product supportability and observability, spearheading automation initiatives, and serving as a technical liaison between Support and Engineering. The role requires deep mastery in areas such as Application Debugging, Big Data Ecosystems, Database Management, Automation & Tooling, Infrastructure & Networking, or Cloud Skills, with a strong emphasis on diagnostic skills and experience in complex systems.

This role is for a Sr. Specialist Solutions Engineer focused on Data Warehousing within the Financial Services industry, guiding customers on cloud data warehousing transformations using the Databricks platform. It involves technical leadership, architecture design, production planning, and supporting sales efforts for business intelligence workloads.

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. This is a customer-facing role where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor.

This role focuses on ensuring Databricks meets compliance and certification standards, particularly for the U.S. Federal Government (e.g., FedRAMP, DISA CC SRG). The engineer will develop ATO packages, manage audit evidence, lead continuous monitoring, and support security compliance reviews, working cross-functionally with various teams and external auditors.

This role is for a Sr. Solutions Engineer at Databricks, focusing on demonstrating the Databricks Data and Intelligence Platform to clients. The role involves building client relationships, acting as a trusted advisor on architecture and implementation, and scaling best practices through reference architectures and workshops. It requires technical sales skills, knowledge in Big Data Analytics, experience with public cloud platforms, and coding proficiency in Python, Java, or Scala. Business proficiency in Hebrew and English is mandatory.

This role is a Delivery Solutions Architect at Databricks, focused on helping customers leverage the Databricks platform for data and AI challenges. The role involves technical guidance, driving adoption, and ensuring customers achieve value from their Databricks workloads, particularly for complex enterprise clients. It requires a blend of technical and business acumen, stakeholder management, and collaboration with sales, field engineering, and internal expert teams.

This role is a Sr. Technical Solutions Engineer (Backline) at Databricks, focusing on resolving critical customer escalations for the Databricks Platform. The role acts as a technical bridge between support and engineering, analyzing metrics and logs to troubleshoot complex issues, providing guidance, and contributing to product improvement feedback and automation. It requires strong experience in distributed big data computing, scripting, Linux/network troubleshooting, and cloud services.

This role focuses on guiding customers in their cloud data warehousing transformation using Databricks, emphasizing production experience with large-scale data warehousing technologies and lakehouse architecture. The Solutions Architect will provide technical leadership, architect production workloads, and optimize pipelines for business intelligence use cases.

Manager, Field Engineering for Strategic Accounts in Germany, focusing on AI platform decisions in Manufacturing and Energy sectors. This role involves people leadership, business ownership, and executive engagement, acting as a player-coach to build and scale a pre-sales team. The focus is on driving AI adoption and consumption within large industrial customers.

Databricks is seeking a Sr Fullstack Engineer to work on their Agentic Applications team. The role involves building and scaling the company's data and AI infrastructure platform, focusing on enabling data teams to solve complex problems. Responsibilities include creating simple workflows for managing compute clusters, data pipelines, and data exploration experiences, with a path to production. The role requires strong frontend development skills and experience leading large projects.

Databricks is seeking a Senior Staff Technical Program Manager for Reliability to lead strategy and execution of critical reliability initiatives across infrastructure and product engineering. This role involves partnering with senior engineering leaders to define reliability strategy, set long-term goals, and execute multi-quarter programs to enhance the reliability, performance, and operational excellence of their multi-cloud infrastructure. The ideal candidate will have deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles, with a proven track record in leading reliability programs at scale.

Databricks is seeking a Senior Staff Technical Program Manager for Reliability to lead strategy and execution of critical reliability initiatives across infrastructure and product engineering. This role involves partnering with senior engineering leaders to define reliability strategy, set long-term goals, and execute multi-quarter programs to enhance the reliability, performance, and operational excellence of their multi-cloud infrastructure. The ideal candidate will have deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles, with a proven track record in leading reliability programs at scale.

Databricks is seeking a Technical Escalation Manager in Tokyo, Japan, to coordinate the resolution of critical customer issues and major incidents. This role involves working with internal engineering, product management, and customer success teams, as well as external partners, to ensure timely and effective resolution. The manager will create data-driven recovery plans, analyze trends, and utilize business and technical skills to manage escalations and improve incident management processes. A minimum of 8 years of experience in customer support, escalation, SRE, or incident management is required, along with strong communication skills, cloud experience (AWS, Azure, GCP), and proficiency in both Japanese and English.

Manager of Resident Solutions Architects at Databricks, providing strategic leadership for professional services engagements, shaping the big data and machine learning landscape for customers. Responsibilities include people leadership, team management, mentoring, and owning customer project delivery to ensure they meet high standards. The role involves partnering with sales and customer success, resolving customer concerns, analyzing operational processes, and managing a team of technical architects.

This role is for a Sr. Solutions Engineer at Databricks, focusing on demonstrating the Databricks Data Intelligence Platform to clients. The role involves building client relationships, providing technical value, conducting hands-on evaluations, contributing to the technical community, and acting as a Big Data Analytics advisor. The goal is to develop into an independently operating Solutions Architect.

Staff Security Assurance Engineer to lead security compliance and risk management initiatives in a cloud-native environment, collaborating with various teams to ensure successful completion of cross-functional projects.

Senior Engineering Manager to lead a team responsible for cloud security posture, IAM policy enforcement, CSP account provisioning, compliance evidence collection, and security data pipelines. The role focuses on automating cloud access, approval workflows, and IAM policy enforcement to reduce manual toil and strengthen security controls, while ensuring compliance with SOC2, FedRAMP, and other regulatory requirements. This is a leadership role requiring experience in security engineering, cloud infrastructure, and managing engineering teams, with a strong emphasis on operational excellence and cross-functional collaboration.

Databricks is seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. This role will define the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. The engineer will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane, improving scalability, reliability, and efficiency.

This role partners with customers to design scalable data architectures using Databricks technology, focusing on data engineering, data science, and machine learning projects. The Solutions Engineer acts as a trusted advisor throughout the sales lifecycle, building reference architectures and demo applications, and promoting Databricks open-source projects.