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Tier-1 employer and Bangalore location increase competition but senior, specialized finance-data role limits applicant pool.
Strong finance domain knowledge and Databricks/platform expertise reduce cross-industry transferability.
Explicit 15+ years and 5+ years management plus finance domain and Databricks expertise create strict filters.
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Lead design, development, and delivery of data pipelines, AI use cases, and internal applications powering Finance and Accounting at Databricks.
Manage and grow a team of finance data engineers while setting technical standards and ensuring high-quality outputs aligned with CFO priorities.
Partner across Finance, IT, and Engineering to implement scalable technical solutions and enforce change management and data security policies.
15+ years in data engineering, finance systems, or analytics engineering with at least 5 years in people management or team leadership.
Proficiency in SQL and Python; experience with Apache Spark or Databricks platform is a strong plus.
Hands-on experience building/maintaining ELT/ETL pipelines integrating financial source systems (e.g., Netsuite, Salesforce, Stripe, Zuora).
Understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting.
Experienced leader comfortable bridging technical and non-technical stakeholders in Finance data and AI initiatives.
Able to translate complex and ambiguous Finance requirements into maintainable, scalable technical solutions within a Finance DataLake environment.
Familiar with finance data workflows, BI/dashboarding tools, AI/ML applications, and governance processes relevant to high-growth SaaS or cloud infrastructure contexts.