Jobs at Databricks

Lead customer-facing technical discovery, solution architecture, proofs of concept, platform demonstrations, and architecture reviews for data engineering, analytics, and machine learning workloads. Develop account-level technical strategies with Account Executives, explain competitive differentiation, and build reusable notebooks, accelerators, and reference architectures. The role requires hands-on coding, cloud data platform expertise, distributed systems knowledge, strong presentation skills, and technical customer leadership.

Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture and technical design, develop end-to-end data pipelines and applications, integrate ML/AI models, guide enterprise customers, and deliver production systems. Collaborate with engineering, product, support, project management, and customer teams while contributing reusable frameworks and product feedback. The role requires customer travel approximately 20% of the time.

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.

Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture, design, implementation, deployment, and integration of data pipelines, distributed systems, ML/AI models, and applications. Lead technical delivery, advise enterprise stakeholders, train customers, resolve implementation issues, and contribute reusable frameworks and product feedback. This role requires 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.

Build and productionize customer data and AI solutions on the Databricks Platform. Own architecture, design, development, deployment, and integration of scalable data pipelines, ML/AI models, and applications. Collaborate with customers, engineering, product, and project teams; provide technical guidance, training, documentation, and implementation support. Deliver measurable project outcomes, resolve technical issues, create reusable accelerators, and influence product direction. Travel to customers approximately 20% of the time.

Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture, design, implementation, deployment, and integration of data pipelines, distributed systems, ML/AI models, and applications. Guide enterprise customers, manage technical delivery, train stakeholders, resolve implementation issues, and create reusable frameworks. Collaborate with engineering, product, project management, support, and customer teams while traveling to customers approximately 20% of the time.

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 end-to-end technical strategy for customer accounts, design scalable data, AI, streaming, and analytics architectures, and guide production deployments. Serve as a trusted advisor to senior technical stakeholders, drive Databricks adoption and consumption, lead competitive technical wins, coordinate cross-functional resources, and provide product feedback. The role requires strong Python and SQL coding, cloud expertise, distributed data systems knowledge, and excellent communication skills.

Drive new-logo sales to startup and emerging enterprise accounts across ASEAN. Develop account strategies, identify buying centers and use cases, manage sales cycles, build business cases, engage technical and executive stakeholders, co-sell with cloud partners, forecast in Salesforce, and close consumption-based Databricks platform opportunities while expanding customer adoption.

Drive sales and revenue growth across Greater China startup and emerging enterprise accounts. Develop account and territory strategies, identify use cases, sell cloud and data solutions, manage sales cycles, exceed quotas, forecast in Salesforce, build C-level business cases, co-sell with cloud partners, and expand consumption-based subscriptions.

Drive Lakebase revenue across Melbourne by identifying, qualifying, and closing complex enterprise opportunities. Partner with account executives, solution architects, product, marketing, and partners to sell managed PostgreSQL for operational workloads and AI-native applications. Lead discovery, value selling, negotiations, proof-of-value initiatives, executive engagements, strategic account development, field enablement, and market thought leadership.

As a Staff Software Engineer, you will lead the design and development of Databricks' Data Intelligence Platform, build data pipelines, and guide engineering teams in architectural efforts.

Lead design and operation of Databricks' Data Intelligence Platform and metrics store. Build and run large-scale, multi-geo ETL pipelines, tooling, CI/CD, infrastructure-as-code, orchestration, and data governance. Partner with product, data science, and engineering teams to define APIs, telemetry, and operational standards, and represent Databricks externally.

Design and build highly scalable, fault-tolerant data ingestion connectors and engines for the Lakehouse. Implement incremental data capture and log parsing, optimize performance on large clusters, debug low-level systems, own architecture and roadmap, and lead complex cross-team technical projects from design through operations.

Build and operate scalable backend infrastructure for the Databricks platform. Responsibilities include developing distributed systems, cloud-agnostic infrastructure abstractions, service platforms, engineering productivity tools, automated release pipelines, and test automation frameworks. The role involves backend development across the full project lifecycle, including design, implementation, deployment, and ongoing operations.

The role involves owning and redesigning platforms for scalability, building seamless user experiences, mentoring junior engineers, and fostering engineering excellence in an impactful way.

Design, build, and own scalable backend systems for cloud cost attribution and automated resource management. Lead end-to-end projects, optimize cloud utilization, mentor engineers, and develop automation/AI tooling to detect and remediate waste.

Design, implement, and optimize low-level application frameworks and core system infrastructure. Focus on JVM internals, memory, concurrency, performance tuning, and distributed systems. Mentor engineers, participate in architecture and code reviews, troubleshoot complex system issues, and improve scalability and reliability.