OverviewBaker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world's leading financial centers - New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.
Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram.
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Job Description:
Baker Tilly is seeking a
Sr Data Engineer to join the founding team of the firm's AI Product Group (APG). This hands-on engineering role is responsible for building scalable, secure, and reliable data infrastructure that powers the firm's AI applications and intelligent agents. The position focuses on two critical areas: developing a governed data foundation that transforms enterprise information and client documents into high-quality, traceable data products, and building the knowledge layer that enables AI agents to retrieve, interpret, and use information accurately. This includes developing production data pipelines, implementing data models and governance controls, and supporting advanced capabilities such as knowledge graphs, enterprise search, and retrieval.
As an early member of the AI Product Group, this individual will collaborate closely with data platform leadership, AI engineers, enterprise architects, business practitioners, and globally distributed technical teams to deliver production-ready data solutions. The role emphasizes strong data engineering fundamentals, hands-on development, data quality, and evaluation-driven engineering practices. The ideal candidate brings demonstrated experience building and operating modern lakehouse pipelines, strong Python and SQL skills, and the ability to develop reliable, maintainable solutions in a fast-paced environment. Prior experience with AI, machine learning, or knowledge graphs is not required; success in this role depends on sound engineering judgment, analytical thinking, and the ability to learn and apply emerging technologies.
Key Responsibilities- Design and Build Data Pipelines: Develop, implement, and maintain scalable batch and incremental data pipelines that transform structured and unstructured information into clean, validated, business-ready datasets within a modern lakehouse environment.
- Develop and Maintain Lakehouse Architecture: Build and optimize data processing and transformation layers using modern lakehouse principles, including medallion architecture, data modeling, and integration of enterprise and legacy data sources.
- Ensure Data Quality, Lineage, and Provenance: Implement automated validation, reconciliation, lineage tracking, and metadata management to ensure data accuracy, consistency, traceability, and reliability throughout the data lifec