Jobs at Databricks

Own customer-facing AI and data engagements from discovery through production launch. Define business value, MVPs, success criteria, and product requirements; prioritize engineering work; lead technical discovery and architecture discussions; manage agile delivery, testing, production readiness, adoption, and stakeholder alignment. Partner with sales, executives, engineers, and customers to deliver measurable outcomes, establish maintenance plans, and identify future opportunities.

Own and scale Databricks Marketplace operations, including partner onboarding, transaction approvals, catalog integrity, marketplace health, deal desk support, and retention initiatives. Build automations, AI-assisted workflows, and operational tools using Python and related technologies. Coordinate with Product, Engineering, Sales, Marketing, and Field teams to improve marketplace performance, reduce friction, and support go-to-market growth. This individual contributor role may eventually build and lead a team.

Build and optimize distributed data-ingestion infrastructure for high-volume, petabyte-scale structured and unstructured data. Develop streaming, incremental processing, replication, CDC, observability, and Delta Lake capabilities while improving throughput, latency, reliability, and cost. Collaborate on RAG and AI-agent use cases, apply machine learning to streaming workloads, and build agentic SDKs with effective evaluations. The role requires production software development and architecture experience with large-scale asynchronous and distributed systems.

Drive enterprise sales of Databricks’ Data Intelligence Platform to Fortune 500 and telecommunications accounts. Build executive relationships, expand usage across business units, manage strategic opportunities, exceed pipeline and revenue targets, forecast in Salesforce, and lead value-based solution selling. The role requires expertise in big data, cloud, SaaS, AI, and consumption-based sales motions, along with the ability to translate technical capabilities into business value.

Leads Databricks’ global Premier Support team, hiring and developing Designated Support Engineers who deliver technical advocacy and white-glove support to enterprise customers. Drives process improvements, performance KPIs, customer satisfaction, incident mitigation, and program enhancements. Partners with sales, field, product, engineering, and regional leadership teams, coordinates resolution of technical blockers, and conducts internal and external support experience QBRs.

Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture, design, implementation, deployment, and integration of scalable data pipelines, machine learning models, and applications. Guide enterprise customers, manage technical delivery, train stakeholders, resolve implementation issues, and contribute reusable frameworks and product feedback. The role requires hands-on engineering, customer immersion, cross-functional collaboration, and travel to customers approximately 20% of the time.

Senior legal counsel supporting international channel and partner programs for a high-growth technology company. Responsibilities include drafting and negotiating partner agreements, developing scalable channel models, assessing compliance risks across jurisdictions, advising on privacy, security, AI, and intellectual property issues, creating training, and collaborating with commercial, operations, compliance, and business teams.

Design and build Databricks’ multi-cloud compute infrastructure and serverless platform. Develop highly available, low-latency systems supporting heterogeneous workloads, GPU qualification, stateful execution, and scale-to-zero efficiency. Build cloud abstractions across AWS, Azure, and GCP while optimizing API gateways, networking, container orchestration, and distributed systems at scale.

Leads tax technology transformation by designing Databricks-based data pipelines, automation, dashboards, AI use cases, and tax applications. Maintains integrations, reconciliations, reporting, forecasting, and calculation workflows while enforcing version control, CI/CD, documentation, and SOX controls. Partners with Tax, Finance Data, IT, and Engineering teams to translate requirements, support tax close, resolve data issues, and deliver reliable self-service solutions.

Lead the technical direction and delivery of Genie One across web, iOS, Android, macOS, and Windows. Build shared frontend infrastructure, native capabilities, authentication and governance systems, and reusable cross-platform patterns. Improve architecture boundaries, testing, release automation, telemetry, performance, and security while mentoring engineers and driving complex customer-facing projects from definition through adoption.

Leads Databricks’ App Traffic engineering team, responsible for unified service-mesh and networking infrastructure across multiple clouds and regions. The role manages engineers, guides distributed-systems architecture, drives large cross-functional initiatives, improves reliability and scalability, partners with infrastructure and application teams, recruits talent, and develops high-performing engineers.

Lead customer technical strategy for Databricks, designing scalable data engineering, machine learning, AI, streaming, and real-time analytics solutions. Advise senior technical stakeholders, drive platform adoption and consumption growth, lead architecture discussions, build customized competitive solutions, coordinate cross-functional resources, and influence product direction. The role requires strong Python and SQL skills, cloud deployment experience, Databricks expertise, and the ability to translate complex technical architectures into business value.

Own the full revenue accounting close cycle, including journal entries, reconciliations, usage reviews, flux analyses, ASC 606 assessments, financial reporting, audit support, and process improvements. The role requires investigating contract and system data, applying judgment to non-standard arrangements, building automation with SQL or scripts, using AI tools, and collaborating with Revenue Operations, Deal Desk, Billing, FP&A, and engineering teams.

Lead the global workplace events and experiences strategy across regions. Plan and execute workplace events, business meetings, trainings, executive gatherings, and community activations while managing vendors, budgets, staffing, safety, and stakeholder relationships. Develop global playbooks, SLAs, operational processes, communications plans, and success metrics. Partner with internal teams and outsourced providers, oversee event technology and production, and mentor workplace specialists to deliver consistent, high-quality experiences.

Own the end-to-end technical architecture and delivery of Databricks’ SAP S/4HANA platform. Lead clean-core extensibility on SAP BTP and Databricks, enterprise AI integration, SAP and non-SAP integration fabric, and SAP data pipelines into the Lakehouse. Establish engineering, security, deployment, testing, and governance standards; oversee performance, scalability, resilience, and cost; mentor developers and architects; and communicate technical roadmaps, risks, and tradeoffs to stakeholders.

Drive enterprise sales of Databricks’ Data Intelligence Platform across Fortune 500 telecommunications accounts. Build relationships with CIOs and other executives, expand usage into new business units, manage strategic opportunities, exceed pipeline and revenue targets, forecast in Salesforce, and execute value-based sales strategies. The role requires expertise in big data, cloud, SaaS, advanced analytics, AI, and consumption-based selling.

Leads complex, multi-quarter Professional Services and Training engagements for Digital Native Business customers. Drives regional impact, booking and consumption goals, solves complex multi-country challenges, shapes account and sales strategy, develops senior customer relationships, and mentors Engagement Managers. Requires deep Databricks architecture and ecosystem expertise, strategic account planning, external thought leadership, hiring participation, and 25–50% travel.

Lead and motivate a team of Hunting Account Executives focused on acquiring VC-backed startup customers. Own revenue targets, pipeline generation, new-logo acquisition, and quota attainment. Develop strategic sales plans, coach account executives in prospecting and deal execution, translate technical products into business value for C-suite buyers, and build relationships with customers, partners, and employees. Travel may be required up to 25%.

Lead a team of Core Account Executives selling to VC-backed startups. Own revenue targets, pipeline generation, account growth, and quota attainment while developing strategic plans and coaching sellers in prospecting, expansion, operational rigor, and customer value communication. Build relationships with employees, customers, partners, and executives; translate technical data, AI, and infrastructure products into business value; and support deals as needed. Travel is expected up to 25%.

Lead technical strategy for large enterprise accounts as Databricks’ primary technical voice. Partner with Enterprise Account Executives to guide customers through data and AI transformations, drive Databricks adoption, build technical champions, align solutions with business strategies, and lead virtual account teams. The role requires enterprise pre-sales expertise, executive engagement, value selling, technical leadership, knowledge of big data, cloud, ML and AI, and production programming experience.