Latest Engineering Management jobs at Databricks

Leads and develops the App Traffic engineering team building reliable, scalable service-mesh and networking infrastructure across multiple clouds. Requires 9+ years of software engineering experience, including engineering leadership and distributed-systems or infrastructure expertise.

Leads and scales a team of pre-sales Solutions Architects and Solutions Engineers supporting the UAE market from Paris or London. The role requires technical or consulting experience in data, databases, or data science, along with team leadership, sales partnership, and Arabic and English fluency.

Leads and scales a technical pre-sales organization across Eastern Europe, guiding enterprise cloud and Data/AI sales cycles, executive engagements, and architectural strategy. Requires substantial pre-sales leadership, multi-cloud architecture expertise, commercial acumen, and strong executive communication.

Leads a Public Sector Delivery Solution Architecture team responsible for post-sales technical strategy, production deployments, customer growth, and delivery execution. Requires U.S. citizenship, 7+ years of customer-facing experience, and experience leading technical post-sales teams in data and AI environments.

Leads the technical strategy, roadmap, and execution of Databricks’ Learning product, a 0→1 self-serve experience designed to scale to millions of learners. Requires extensive software engineering and management experience, full-stack technical depth, distributed-systems expertise, and experience scaling both products and engineering organizations.

Leads and grows a team of Solutions Architects serving startup customers, partnering with Sales and cross-functional teams to drive technical wins and customer success. Requires 10+ years in technical data products and proven technical pre-sales leadership.

Leads the team building Profile Agents for Databricks’ CustomerLake agentic customer data platform, owning delivery, architecture, product direction, and team growth. The role requires engineering management experience, deep production data or distributed-systems expertise, and hands-on experience applying agents or LLMs to data engineering.

Leads a regional team of Forward Deployed and AI Engineers delivering enterprise data migrations, AI/ML platforms, analytics, and generative AI solutions. The role combines people leadership, delivery governance, executive customer engagement, and technical coaching.

Leads a small Lakebase engineering team while remaining hands-on with architecture, coding, and distributed-service reliability. The role requires at least five years of engineering experience, technical leadership, people-management readiness, and a bachelor's degree or higher.

Leads and develops a regional team of Delivery Solution Architects responsible for post-sales technical strategy, customer architecture, and accelerating enterprise data and AI workloads into production. Requires 7+ years of customer-facing experience and technical post-sales leadership in SaaS and data platforms.

Leads the engineering team and cross-organizational initiatives responsible for secure, consistent Unity Catalog runtime enforcement across Databricks compute engines and clouds. The role requires extensive distributed-systems experience, security expertise, operational maturity, and technical leadership.

Leads a regional Data & AI technical solutions team supporting customer production workloads across APJ and EMEA. The role combines people leadership, customer-facing troubleshooting, data engineering expertise, and collaboration with product engineering to improve reliability and adoption.

Leads the organization and strategy for Databricks’ large-scale data infrastructure, including billing correctness, disaster recovery, reliability, deployment automation, and data integration. The role requires extensive distributed-systems experience, infrastructure leadership, and experience managing managers.

Leads full-stack engineering teams building data visualization and business semantics products for Databricks AI/BI. The role requires engineering management experience, distributed systems expertise, talent development, and experience scaling distributed teams.

Leads engineering organization and developer-platform initiatives, including scalable cloud services, AI-assisted development, technical strategy, hiring, and leadership development. Requires 15+ years building distributed systems and experience managing high-performance engineering teams.

Leads the engineering team responsible for next-generation Materialized View capabilities within the Lakeflow data infrastructure platform. The role requires engineering management experience plus deep expertise in data infrastructure, distributed systems, database internals, and team development.

Leads the India-based Connect organization, building scalable data-ingestion infrastructure and integrating it across Databricks products. The role requires 10+ years of distributed-systems experience, strong engineering leadership, cloud-platform expertise, and cross-functional collaboration with product teams and customers.

Engineering Manager for Databricks’ Core Experiences Platforms organization, leading teams that build and operate highly available, scalable distributed platforms across regions and clouds. The role requires substantial engineering-management experience, distributed-systems expertise, and a track record of scaling teams.

Leads software engineering teams in Bengaluru building scalable, secure, cloud-agnostic infrastructure and products for data and machine-learning workloads. The role requires extensive distributed-systems experience, team-building and people-management expertise, and a bachelor's degree in computer science or a related field.

Leads backend engineering teams building scalable, secure, cloud-agnostic infrastructure and services for data and machine learning workloads. The role requires 12+ years of distributed-systems experience, extensive engineering leadership, and a Computer Science or related degree.

Leads engineering teams building scalable infrastructure and products for distributed data and machine-learning workloads. The role emphasizes hiring and developing engineers, establishing technical excellence, roadmap planning, and cross-team execution.

Leads backend infrastructure teams building scalable, secure services and products for Databricks’ data and AI platform. The role requires large-scale distributed-systems experience, engineering management experience, and strong technical and people leadership.

Lead and grow a team of Delivery Solutions Architects supporting fast-growing Emerging Enterprise customers on the Databricks Data and AI platform. Focus on accelerating use case onboarding, enabling production workloads, driving measurable business outcomes, and maintaining technical excellence in modern data architectures. Requires 7+ years customer-facing technical experience including 3+ years leading teams.

Lead the global training delivery function for Databricks Learning & Enablement, owning instructor staffing, readiness, and the evolution to AI-first, customized training operations. Requires people leadership of global technical instructor teams, deep expertise in data/AI, and data-driven capacity planning.

Lead a team of pre-sales managers and solutions architects in the Financial Services vertical to acquire new enterprise customers and drive Data & AI adoption with Databricks. Requires 10+ years leadership experience including 3+ years of second-line management of 30+ person teams, plus proven high-growth enterprise pre-sales success.

Lead and scale a team of Forward Deployed Engineers delivering large-scale data migrations, AI/ML, and GenAI solutions for Public Sector customers. Requires 4+ years people leadership and 5+ years hands-on technical experience in data/AI engineering or solutions architecture.

Lead engineering team building Databricks AI Runtime for large-scale GPU model training and fine-tuning. Own product experience, distributed training infrastructure, reliability, and roadmap while collaborating across product, research, and platform teams. Requires 8+ years software engineering and 3+ years management experience with deep GPU training expertise.

Lead and manage a team of Solutions Architects in the Manufacturing and HiTech segment, driving pre-sales activities for Databricks' Data + AI platform. Requires 7+ years in Data+AI and 3+ years leading technical pre-sales teams, with a focus on hiring, coaching, customer success, and hitting sales targets.

Lead and manage a team of Solutions Architects in the Manufacturing segment, focusing on pre-sales for Databricks' Data + AI platform. Partner with sales to drive revenue and customer success while building team culture, technical expertise, and architectural best practices. Requires 7+ years in Data+AI and 3+ years leading pre-sales teams.

Engineering Manager owning end-to-end delivery and scaling of a new Execution Sandbox service powering non-Spark compute workloads across AWS, Azure, and GCP. Requires 5+ years managing engineers on distributed systems and deep infrastructure fluency.

Lead a high-performing engineering team focused on data visualization, leveraging AI/BI Dashboards. Oversee talent development, strategic execution, and operational excellence while managing technical debt and an ambitious product roadmap.

Lead and scale a team building core application platform infrastructure and service frameworks used by every microservice at Databricks. Requires 8+ years in large-scale distributed systems and 4+ years of engineering management.

Hands-on engineering manager to lead the Configuration Platform team at Databricks, overseeing distributed systems that manage feature flags and configuration across AWS, Azure, and GCP at massive scale. Requires 5+ years of platform/infrastructure team management experience and deep distributed systems expertise.

Leads a team of Solutions Architects to drive Databricks platform adoption among digital native tech companies, focusing on technical qualification of workloads, building POCs, and establishing trusted advisor relationships. Requires 7+ years in data technologies and 5+ years leading customer-facing technical teams.

Leads a team of Solutions Architects to drive Databricks platform adoption at top tech companies, focusing on data, analytics, and AI workloads. Requires 4+ years in data technologies and 3+ years leading technical customer-facing teams.

Leads a team of Solutions Architects serving Intelligence Community, Navy, Air Force, and Space Force customers. Drives technical sales strategy, hires and trains SAs, and ensures customer success with Databricks data/AI platforms. Requires 5+ years in data technologies or IC/DoD missions.

Engineering Manager leading development of next-generation low-latency, multi-tenant Databricks SQL Control Plane. Requires 5+ years in database systems, building highly available cloud services on AWS/GCP/Azure, and managing high-performance engineering teams.

Lead Pipelines Engine team building next-gen ETL features and Agentic Data Engineering infrastructure for Databricks Lakeflow platform. Requires 3+ years managing engineering teams and 5+ years in data infrastructure like Apache Spark.

Leads engineering team building AI-driven customer experience intelligence systems for support workflows, self-service, and product health at Databricks. Requires 10+ years in customer-facing tools and 5+ years leading engineering teams.

Leads engineering team building and operating large-scale compute infrastructure platform supporting Databricks workloads across clouds. Requires 3+ years management and 10+ years in distributed systems with cloud/container expertise.

Leads engineering team building scalable Vector, Keyword, and Hybrid Search services for AI applications. Requires 5+ years in search/database systems, strong leadership, and BS in Computer Science.

Leads Notebook Dataplane team to build scalable stateful user code execution service for serverless products. Requires 10+ years software engineering, 3+ years management, and expertise in distributed systems and cloud platforms.

Leads engineering team building unified Workspace Platform infrastructure for Databricks products like content discovery and collaborative editing. Requires 15+ years software engineering, 5+ years management, and expertise in distributed systems and cloud platforms.

Leads global enterprise engineering, building teams to secure and scale cloud infrastructure, IAM, endpoints, and collaboration tools. Requires 10+ years in cloud management, AWS expertise, and remote leadership.

Leads engineering team in UI Platform to enhance developer productivity via fast dev loops or unified interfaces using React, TypeScript, and GraphQL. Requires 5+ years frontend experience and 2+ years management of distributed teams.

Engineering Manager leading IAM team to scale authentication, authorization, and identity services for Databricks' data and AI platform. Requires 5+ years leadership, deep IAM expertise, and experience with large-scale secure systems.

Engineering manager leading Spark Structured Streaming development, enhancing stream processing with advanced features and performance improvements. Requires 5+ years in big data/Spark, team leadership, and distributed systems expertise.