Jobs at Databricks

Customer-facing senior engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads architecture, implements data pipelines, integrates ML/AI models and apps, manages technical delivery, and builds reusable assets while embedding with enterprise customers to drive measurable outcomes.

Lead a regional team of Lakebase Sales Specialists to grow Databricks Lakebase within Healthcare & Life Sciences. Own quota, build pipeline, recruit and coach specialists, execute developer/platform sales motions, engage CIO/CTO-level customers and partners, and relay field feedback to Product and GTM teams.

Lead pre-sales technical engagements for the Lakebase product line: design solutions, run workshops and demos, advise customers on OLTP and Lakehouse integrations, influence roadmap, and act as tier-3 escalation to ensure successful adoption and delivery.

Lead strategic ISV partnerships for Business Applications (CRM, HCM, Finance, ERP). Build joint GTM and product plans, drive integrations with engineering and product, enable field readiness, and influence roadmap across Product, Sales, and Marketing to scale Databricks as the preferred platform for business-application workloads.

Lead global paid media strategy and a team of media planners to drive brand awareness, account engagement, and pipeline growth. Build scalable planning frameworks, align budget to high-impact audiences, implement measurement frameworks with Analytics, and foster team development and continuous test-and-learn improvements.

Serve as a senior pre-sales Solutions Architect for Databricks, driving technical engagements, proofs-of-concept, and customer adoption across Communications, Media, Entertainment & Gaming. Partner with Account Executives, influence stakeholders including C-level, coach junior architects, develop customer collateral, and lead workshops. Provide architecture, design, and technical strategy for cloud-based data analytics solutions and the Databricks platform.

Design and deploy production ML/AI architectures on the Databricks platform, lead Generative AI (LLM, RAG, agent) implementations, optimize and scale MLOps pipelines, provide technical pre-sales support, and translate customer feedback into product improvements while mentoring peers and meeting delivery milestones.

Lead and scale the Accenture Databricks Business Group by designing and operating a global PMO: establish governance, portfolio management, executive cadences, KPI dashboards, standardized tools, and a strategic partner investment program. Partner cross-functionally with GTM, Finance, Legal, Product, and Accenture to source, structure, and operationalize investments and ensure measurable outcomes and auditability.

Lead technical pre-sales engagements for the Databricks platform: develop customer strategies, influence stakeholders and C-levels, build proofs-of-concept, coach junior architects, deliver workshops, and drive adoption of Data Intelligence solutions while collaborating with account teams.

Own a geographic territory to originate, advance, and close complex enterprise deals with state and local government agencies. Manage long sales cycles, present to C-level executives, track pipeline in Salesforce, and sell the Databricks Data + AI platform (Spark, Delta Lake, MLflow). Exceed activity, pipeline, and revenue targets while navigating regulated procurement and multi-stakeholder buying committees.

Customer-facing specialist guiding enterprise cloud data engineering and lakehouse transformations. Architect and optimize large-scale data pipelines, perform performance and load testing, support pre-sales POCs and workload sizing, lead adoption workshops, and mentor peers to drive Databricks platform adoption.

The Lead GTM Enablement & Scale Architect will develop and implement enablement strategies for Lakebase, ensuring field readiness and competitive positioning while leveraging AI for scalable solutions.

Customer-facing technical leader who architects, builds, and optimizes large-scale data engineering and lakehouse solutions on Databricks. Supports pre-sales and delivery with POCs, performance/load testing, workload sizing, migrations, observability, and adoption through workshops and community engagement.

The Senior Customer Enablement Architect drives customer success through tailored training programs, partnering with sales teams and assessing skill gaps to enhance adoption and business outcomes for Databricks' products.

Lead compensation analytics and AI strategy to transform compensation data into insights, tooling, and forecasts. Own market benchmarking, total comp budget forecasting, competitive intelligence, and partner with Finance and senior leaders on compensation design and equity modeling while ensuring data governance and privacy.

The role involves cultivating technical relationships with Accenture, supporting solution development, customer deal support, and representing Databricks at events.

As a Named Core Account Executive, you will sell Databricks solutions to enterprise accounts, manage relationships with key stakeholders, and exceed sales targets while navigating complex sales cycles.

Lead GTM compensation strategy and programs: design pay frameworks, manage lifecycle compensation processes, analyze market and comp data, advise founders and senior leaders, and scale enterprise-wide compensation solutions.

Lead a team of compensation partners and drive enterprise-wide compensation strategy, design, and program delivery. Partner with People, Finance, and business leaders on complex pay decisions, scale compensation infrastructure, leverage analytics and AI, and ensure operational excellence across global pay cycles, equity strategy, and governance.

Lead Databricks' positioning as a strategic AI transformation partner to C-suite leaders: build executive relationships, co-create and operationalize AI transformation roadmaps, develop scaled engagement and co-sell models with partners, and establish an Expert Advisory Council to guide scaled AI adoption and value realization.