Sr Manager, Data Engineering

Location: Chicago, IL / Boston, MA / Atlanta, GA / Houston, TX / New York, NY

Work Arrangement: Hybrid / Onsite as required

Duration: Long term, with potential extension

Start Date: ASAPOpen Positions: 1 Manager and 1 Senior Manager

Job Overview: Client is seeking experienced Data Engineering professionals at the Manager and Senior Manager levels to build and maintain scalable, AI-ready data platforms using Snowflake. The ideal candidates will have strong hands-on experience with Snowflake, SQL, Python, and modern data engineering practices, along with exposure to AI/ML data enablement. The role will focus on transforming investment and enterprise data into high-quality, reusable, governed data assets that support AI applications, intelligent agents, copilots, and Retrieval-Augmented Generation (RAG) solutions. Candidates should be comfortable partnering with business stakeholders, data engineering teams, and AI engineering teams to deliver scalable, secure, and high-performance data solutions.

Key Responsibilities: Build, develop, and maintain scalable data pipelines in Snowflake to support enterprise analytics and AI use cases. Design and implement data ingestion, transformation, integration, and curation workflows for investment and enterprise data. Develop AI-ready data assets, including semantic views, vectorized datasets, metadata models, and retrieval frameworks. Leverage Snowflake Cortex capabilities to support AI-driven data engineering and intelligent data applications. Develop data engineering solutions using Snowflake, SQL, Python, and modern cloud technologies. Enable data retrieval and integration capabilities for AI agents, copilots, and RAG-based applications. Build reusable, trusted, and governed data products that can be leveraged across multiple business and technology teams. Partner with business stakeholders, data architects, and AI engineering teams to translate complex investment data requirements into scalable technical solutions. Ensure data quality, governance, security, performance optimization, monitoring, and observability across data pipelines. Contribute to the design and implementation of enterprise data platforms supporting investment, risk, trading, and AI initiatives.

Required Skills & Experience: Strong hands-on experience in data engineering and enterprise data platform development. Extensive experience with Snowflake and building scalable data pipelines. Strong SQL and Python programming skills. Experience with Snowflake Cortex, including Cortex Search and/or Cortex Agent. Experience developing AI-ready data assets, semantic models/views, vectorized datasets, and metadata-driven data solutions. Understanding of vector search, embeddings, retrieval frameworks, and RAG architectures. Experience building reusable and governed data products for enterprise applications. Strong understanding of data ingestion, transformation, data modeling, and data integration. Experience with data governance, data quality, security, performance tuning, and production observability. Ability to collaborate with business teams, data engineering teams, and AI/ML engineering teams.