Staff Data and AI Engineer, Finance

Навыки

Обязанности

• 01Architect, build, and own the most complex finance data pipelines in the Finance DataLake, using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations
• 02Lead the technical design of AI use cases for the Finance and Accounting organization, including forecasting automation, anomaly detection, and natural language interfaces to financial data
• 03Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders
• 04Design and deliver curated Finance DataLake datasets and enforce row-level security, data access policies, and Unity Catalog governance standards
• 05Define and champion coding standards, data modeling conventions, documentation practices, and testing frameworks across the Finance engineering team
• 06Enforce and evolve Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements
• 07Lead technical scoping and solutioning for requirements from Accounting, FP&A, Internal Audit, and Procurement teams
• 08Serve as the primary technical point of contact during financial close, ensuring data accuracy and timely resolution of pipeline issues
• 09Partner with IT and Engineering on new system integrations, providing detailed technical requirements and leading UAT
• 10Mentor junior and mid-level engineers through code reviews, pairing, and design discussions, raising the technical quality of the broader team
• 11Proactively identify architectural debt, performance bottlenecks, and tooling gaps, and drive resolution with minimal direction

Требования

• 0112+ years of experience in data engineering, analytics engineering, or finance systems, with a track record of owning complex, production-grade pipelines end-to-end
• 02Deep proficiency in SQL and Python; hands-on experience with Apache Spark and the Databricks platform
• 03Experience building and maintaining ELT/ETL pipelines from financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake
• 04Strong understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting
• 05Ability to independently translate ambiguous Finance requirements into well-architected, maintainable technical solutions
• 06Comfortable driving technical conversations with both engineering peers and non-technical Finance stakeholders
• 07Experience building Finance-facing dashboards, self-service BI products, and executive reporting layers
• 08Familiarity with AI/ML concepts with demonstrated enthusiasm for applying them to Finance workflows

Условия

• 01This individual is expected to be based in Bengaluru