Top Tech Jobs & Startup Jobs

Lead and execute Databricks' global close and consolidation processes, ensuring accurate, timely, audit-ready consolidated books. Drive automation and AI adoption, manage SAP implementation and chart of accounts governance, handle intercompany eliminations, currency revaluations, allocations, and technical close matters. Coach and lead a team while partnering cross-functionally to improve controls and close efficiency.

The Lakebase Sales Specialist drives revenue by promoting Databricks Lakebase, collaborating with various account teams and managing complex sales cycles to modernize operational data foundations.

Lead a team of software engineers in developing a cloud-native, low-latency data warehousing system while managing service operations and team growth.

Drive sales of Databricks to public sector federal financial accounts: manage complex sales cycles, close new logos and expand accounts, present to C-level, meet pipeline and revenue targets, track opportunities in Salesforce, use solution selling to demonstrate platform value, and build internal and external account plans to ensure customer satisfaction.

Lead the global close for GL, accruals, prepaids, fixed assets, cash, leases and related balance sheet areas. Manage and coach a small team, ensure U.S. GAAP compliance and audit readiness, strengthen SOX controls, drive automation and AI adoption, support SAP implementation, and partner with Finance teams on process redesign and reconciliations.

As a Staff Backend Software Engineer at Databricks, you will enhance AI infrastructures, improve distributed workloads, and collaborate with teams to create seamless AI applications.

As a Staff Software Engineer at Databricks, you will develop distributed data storage and processing systems, focusing on projects like Apache Spark, Delta Lake, and performance optimization for diverse data workloads.

Lead development of CustomerLake personalization using ML and LLMs: evaluate and improve models in production, build evaluation and optimization frameworks tied to business metrics, partner with product and design to deliver scalable MVPs, and set technical best practices for ML/AI personalization.

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.

Lead end-to-end payroll operations for US and Canada, managing a team of 4–5. Own payroll runs, tax compliance, year-end reporting, equity payroll (RSUs), SOX controls, audits, systems (Workday, ADP), process improvements, and cross-functional coordination with HR, Finance, Legal and Tax.