Jobs at Databricks

Lead technical strategy for customer accounts, architecture discussions, Databricks adoption, and production deployment. Design scalable solutions spanning data engineering, machine learning, AI, streaming, and real-time analytics. Advise senior technical stakeholders, drive competitive technical wins, coordinate cross-functional resources, develop technical specialization, and influence product direction through customer feedback.

Lead and grow engineering teams building Databricks’ declarative deployment framework, open-source CLI, in-workspace authoring experience, and deployment metadata services. Own the multi-quarter roadmap, agentic development strategy, reliability, release execution, backward compatibility, and cross-platform alignment. Guide architecture for infrastructure-as-code workflows, state reconciliation, governed deployments, CI/CD, and developer tooling while engaging customers and the external developer community.

Lead and grow a software engineering team responsible for Databricks’ declarative deployment framework, open-source CLI, in-workspace authoring, deployment engine, metadata, and history services. Set the roadmap for agentic development, governed deployments, enterprise CI/CD, and resource coverage. Drive reliable execution, backward compatibility, operational excellence, cross-platform alignment, and customer-focused developer tooling.

Manage and expand Databricks relationships across established Korean enterprise accounts. Drive platform adoption, consumption growth, renewals, upselling, and multi-year agreements by aligning data and AI solutions with customer priorities. Build executive and technical relationships, uncover new use cases, coordinate internal teams and SI partners, and guide customers through cloud and data modernization.

Manage corporate cash flow forecasting across monthly, annual, and long-range planning cycles. Lead quarter-end cash landing, report cash metrics to executives and the Board, and coordinate capital, fundraising, debt, and liquidity forecasts with Treasury. Build financial models, translate complex data into actionable insights, and automate cash reporting and planning processes using Databricks, SQL, dashboards, and AI tools.

Lead Databricks’ enterprise sales organization in New South Wales, driving customer expansion and growth across major accounts. Build, mentor, and scale Account Executive and Solution Strategist teams; develop ANZ growth strategies; manage executive customer and partner relationships; improve forecast accuracy and resource planning; guide value-based selling; and deliver sustainable revenue growth through disciplined performance management.

Lead and grow the Notebook Dataplane engineering team, establish its technical vision and roadmap, and ensure reliable, scalable execution of user code. Drive service quality, SLAs, testing, monitoring, and operational excellence while partnering with platform and product teams. The role also involves hiring and developing engineers, guiding architecture and technical debt decisions, and aligning infrastructure investments with product priorities.

Drive net-new enterprise sales of Databricks’ cloud data platform to digital-native accounts. Develop account strategies, engage buying centers, identify use cases, communicate technical and business value, orchestrate internal teams, negotiate, and close deals. The role requires SaaS, PaaS, cloud, or big data sales experience, executive customer relationships, quota achievement, and success winning new business.

Own complex customer engagements across pre-sales, onboarding, and production. Serve as the technical expert for the Databricks Data + AI Platform, advise multiple customers, address objections, demonstrate platform value, and build reusable AI-augmented workflows. Collaborate across the team while managing priorities and maintaining high-quality technical guidance. The role requires Korean and English fluency, cloud expertise, and knowledge of data analytics, data engineering, and AI-driven development.

Lead customer-facing delivery of production-grade data and AI solutions on Databricks. Own architecture and design decisions, build end-to-end data pipelines and applications, integrate ML/AI models, guide enterprise customers, manage technical delivery, and contribute reusable frameworks and product feedback. The role requires strong distributed computing, cloud, coding, CI/CD, MLOps, stakeholder management, and technical project delivery skills. Travel to customers is approximately 20%.

Manages revenue operations for usage-based billing, including contract setup, usage adjustments, reconciliations, billing finalization, refunds, credits, and month-end close. Leads SOX controls, audit documentation, process automation, KPI reporting, and a shared-services team in India. Partners with Engineering, Deal Desk, Billing, Collections, Revenue Accounting, and Compliance to improve billing accuracy, shorten close timelines, and support scalable, touchless billing.

Drive enterprise sales for Databricks’ cloud data platform across oil and gas accounts. Develop territory plans, engage CIOs and senior decision-makers, acquire new customers, expand existing accounts, manage complex sales cycles, exceed quota and pipeline targets, maintain Salesforce forecasts, and communicate the value of cloud, big data, and Apache Spark solutions.

Lead full-cycle recruiting for GTM roles across the APJ region, including sales, pre-sales, and technical hiring. Build active and passive talent pipelines, develop data-driven recruiting strategies, establish hiring benchmarks, forecast workforce needs, and partner with leadership on team growth. Manage candidate closing strategies, mentor recruiting teams, improve interview experiences, and support diversity and inclusion initiatives within a high-growth software company.

Sources and evaluates candidates for go-to-market roles, including Account Executives and Solutions Architects. Builds relationships with recruiters and hiring managers, develops sourcing strategies, engages passive talent, conducts talent mapping and market analysis, builds diverse pipelines, and supports an excellent candidate experience. Requires at least three years of technical or go-to-market sourcing experience and a bachelor’s degree or equivalent.

Source and assess candidates for go-to-market roles, including Account Executives and Solutions Architects. Build talent pools, engage passive candidates, conduct market mapping, develop diverse pipelines, apply strategic sourcing methods, and deliver a strong candidate experience. Partner with recruiters and hiring managers to create sourcing strategies and provide talent insights that support workforce growth.

Lead and develop a team of Account Executives serving Commercial customers. Drive platform adoption, consumption growth, expansion, net retention, and workload discovery through strategic account planning and executive relationships. Coach sellers on value-based selling, cross-functional orchestration, upselling, churn mitigation, forecasting, and pipeline management. Translate technical architectures into measurable business outcomes and ROI while supporting high-impact expansion opportunities through occasional travel.

Leads strategic programs and operations for the Chief Accounting Officer organization. Responsibilities include organization strategy, team leadership, AI enablement, SAP and enterprise system implementations, SOX compliance, governance, executive communications, metrics, and cross-functional finance transformation. The role manages major initiatives across accounting, IT, engineering, FP&A, sales, and go-to-market teams while supporting commercialization and global process scalability.

Leads AI/ML architecture strategy for customers, designing production-grade solutions involving RAG, agentic systems, guardrails, evaluation, and observability. Advises senior technical stakeholders, drives Databricks adoption and consumption, leads competitive technical engagements, coordinates cross-functional resources, and influences product direction. Requires strong Python and SQL skills, distributed data architecture expertise, public-cloud deployment experience, and willingness to travel up to 30%.

Lead customer-facing technical engagements spanning discovery, solution design, architecture reviews, proofs of concept, and platform demonstrations. Build production-quality data solutions and reusable technical assets using Python, SQL, cloud platforms, distributed data systems, analytics, and machine learning technologies. Partner with Account Executives to develop account strategies, expand platform adoption, and communicate Databricks’ differentiation.

Drive strategic enterprise sales within Fortune 500 telecommunications accounts. Build executive relationships, expand Databricks adoption across business units, exceed pipeline and revenue targets, manage forecasting in Salesforce, and communicate the value of Databricks’ data and AI platform. The role requires solution-based selling, strong knowledge of big data, cloud, SaaS, and consumption-based sales, plus experience managing major enterprise accounts.