Jobs at Databricks

Support Asia-region payroll processing across Australia, Korea, Japan, and Singapore by validating and reconciling payroll data, conducting audits, resolving employee cases, collaborating with vendors, ensuring statutory compliance, maintaining documentation, and contributing to process improvements, system enhancements, testing, and payroll projects.

Lead customer-facing technical engagements from discovery through solution design, proofs of concept, demonstrations, and architecture reviews. Build production-quality data and AI solutions on Databricks using Python, SQL, cloud platforms, and distributed data technologies. Partner with Account Executives on technical account strategies, articulate competitive differentiation, manage customer engineering relationships, and contribute reusable technical assets.

Leads complex enterprise customer engagements as a technical authority for Databricks data and AI solutions. Owns architecture, consumption strategy, executive relationships, competitive positioning, migrations, real-time systems, and AI/ML platforms. Orchestrates cross-functional teams, mentors solutions architects, drives platform adoption and revenue growth, and contributes to technical thought leadership through workshops and customer-facing content.

Leads customer technical strategy, architecture discussions, Databricks adoption, and production deployments across data engineering, AI/ML, streaming, and real-time analytics. Advises senior technical stakeholders, designs scalable cloud-native solutions, demonstrates competitive differentiation, coordinates cross-functional resources, and develops technical specialization. Requires strong Python and SQL coding, distributed data systems expertise, public cloud experience, and the ability to translate complex architectures into business value.

Lead customer technical engagements across discovery, solution design, architecture reviews, proofs of concept, and live Databricks demonstrations. Design data engineering, analytics, and machine learning solutions; build production-quality code and reusable technical assets; manage frontline technical relationships; and partner with Account Executives on account strategies that expand platform adoption and consumption.

Lead technical strategy for customer accounts, guiding architecture discussions, platform adoption, production deployments, and consumption growth. Design scalable solutions across data engineering, machine learning, AI, and real-time analytics. Advise senior technical stakeholders, develop a technical specialization, coordinate cross-functional resources, demonstrate competitive platform advantages, and provide product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, cloud deployment experience, and excellent communication skills.

Qualify inbound and outbound sales opportunities across ASEAN and GCR markets. The representative will prioritize marketing-generated leads, develop personalized outreach through email, cold calls, and social selling, engage senior stakeholders, uncover data-related business needs, and demonstrate how Databricks can help address them. The role requires value-based selling, technical curiosity, measurable sales achievements, accountability, and ongoing learning about big data and AI.

Lead AI product adoption and technical go-to-market strategy across Asia Pacific and Japan. Advise customers and executives on data, analytics, machine learning, and generative AI architectures; deliver presentations, demos, and competitive pitches; support field engineering and sales teams; develop enablement materials; influence product direction; lead specialist teams; and represent Databricks through conferences, webinars, and published content.

Lead Databricks’ enterprise sales organization across Malaysia and Indonesia, managing Enterprise Account Executives and owning team quota attainment. Develop strategic revenue plans, grow consumption among strategic financial services accounts, build executive customer and partner relationships, and translate technical data and AI capabilities into business value. The role requires Bahasa fluency, extensive enterprise software sales leadership, strong Data and AI expertise, hyperscaler relationships, and a proven record of developing high-performing teams.

The Lakebase Sales Specialist will drive revenue by closing Lakebase opportunities, engage with application development teams, and lead sales cycles. Responsibilities include strategic account engagement, field enablement, and market thought leadership, requiring deep knowledge in enterprise SaaS sales and operational databases.

The Strategic Customer Advisor will engage C-level executives and guide high-stakes sales opportunities, focusing on transforming customer engagement and improving internal team effectiveness.

Own full-cycle recruiting for technical go-to-market roles across Singapore and the ASEAN/Greater China region. Partner with Field Engineering and Sales leaders on sourcing strategy, market mapping, compensation positioning, talent insights, workforce planning, and closing strategies. Build pipelines of passive technical talent, improve hiring processes through data and metrics, deliver an excellent candidate experience, and support diverse, high-caliber workforce growth in a fast-paced environment.

Own and operate an AI-first sales prospecting program: design metrics, reporting, governance, sequencing, adoption, enablement, and executive cadences. Partner cross-functionally (AI Ops, Sales Ops, GTM Analytics, Enablement) to build data foundations, run reviews, drive adoption, and iteratively improve AI-native prospecting at scale.

The Enterprise Account Executive will drive sales of Databricks' Unified Analytics Platform by engaging with enterprise customers, managing sales pipelines, and achieving revenue targets.

Lead and scale a regionally focused Forward Deployed Engineering team partnering with enterprise accounts to deliver data platform migrations, AI/ML and GenAI solutions. Drive delivery governance, billable performance, and high-stakes customer engagements while mentoring engineers and ensuring measurable business impact.

Lead and manage a team of Partner Solutions Architects, providing technical guidance to consultative partners, driving customer success, and enhancing partner engagement with the Databricks platform.

Provide commercial legal support for Databricks across Asia: negotiate enterprise cloud and SaaS agreements, advise on data privacy, security, AI, and IP issues, update legal templates, and partner with sales, finance, security, and product teams to enable revenue and new-market entry.

Sell and grow Databricks accounts in the public sector: prospect and close new business, expand existing accounts, evangelize the Databricks platform, engage business and technical decision-makers, drive partner-led opportunities, and exceed pipeline and revenue targets while creating a territory strategy focused on public sector customers in Singapore.

Embed with strategic customers to design and deliver end-to-end Databricks-based solutions. Lead architecture, build fullstack applications, integrate data pipelines and ML/AI models, and collaborate cross-functionally to deliver production-grade systems and reusable assets that drive measurable enterprise impact.

Partner with Account Executives to drive adoption of the Lakebase product line by designing technical strategies, delivering demos/workshops, resolving tier-3 escalations, enabling customers at scale, and influencing roadmap through field-derived insights. Use deep OLTP, cloud, Lakehouse, and data ecosystem expertise to architect solutions and ensure mission-critical success.