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Strong Databricks brand, Bangalore location, but senior niche finance-data skillset yields medium competition.
Requires finance domain knowledge and Databricks platform expertise, so background fit sensitivity is high.
Explicit 12+ years plus Databricks, SOX, and finance domain mandates create high shortlisting strictness.
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Own and architect the most complex finance data pipelines and AI systems powering Finance and Accounting functions using Databricks platform.
Lead technical design and delivery of AI use cases, internal finance applications, and curated datasets enforcing security and governance standards.
Serve as technical lead and mentor to finance data engineers; interface directly with Finance leadership and cross-functional teams for requirements and integration.
12+ years in data engineering, analytics engineering, or finance systems with end-to-end ownership of complex production-grade pipelines.
Proficiency in SQL, Python, Apache Spark, and Databricks platform; experience with ELT/ETL pipelines from financial source systems (e.g., Netsuite, Salesforce, Stripe, Zuora).
Strong understanding of finance/accounting concepts including close processes, revenue recognition, chart of accounts, and intercompany transactions.
Must be based in Bengaluru; specific notice period not explicitly mentioned in the JD.
Experienced technical leader who can bridge finance domain expertise with data platform capabilities and drive architectural decisions independently.
Comfortable translating ambiguous finance requirements into maintainable technical solutions and engaging both technical and non-technical stakeholders.
Has proven track record in modern finance data infrastructure, AI/ML application to finance workflows, and enforcing engineering rigor and governance in finance data teams.