Our client, a major bank in New York City, is looking for talented Finance Data Warehouse Lead ( VP Level ).
Permanent position with competitive compensation package, excellent benefits, and target bonus. With total comp is around 228K.

This is hybrid commute position with up to 2-3 days per week in the office.

Summary
The Financial Data Warehouse Lead to drive and support our data warehousing initiatives. The ideal candidate will have a strong background in financial data management, data engineering, and a passion for optimizing data processes. You will lead the development and maintenance of our financial data warehouse, ensuring that it supports analytical and reporting needs across the organization

Responsibilities

• Lead the design, development, and maintenance of the financial data warehouse using firm technologies (e.g. DataBricks, Snowflake).
• Collaborate with business to gather requirements and translate them into effective technology solutions.
• Optimize ETL processes for efficient data ingestion, transformation, and loading.
• Bank experience is a plus
• Implement best practices for data governance, quality, and security within the data warehouse.
• Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability.
• Create and maintain documentation for data architecture, processes, and workflows.
• Train and mentor team members on firm’s database technologies and data warehousing best practices.
• Stay updated with industry trends and advancements in data technologies, particularly related to financial analytics.

Required Qualifications

• Subject Matter Expertise in financial data processing
• 10+ years with IT Financial systems (ERP, data warehouses, reporting)
• 10+ years experience with data warehouse technologies (e.g. SQL Server, DataBricks) with integrations with external applications and platforms
• Bachelor’s in Computer Science/Engineering or similar field
• Preferred Master’s degree
• Proficiency in SQL and data modeling including ETL processes
• Experience in financial reporting, analytics, and data visualization tools (e.g. Power BI, Qlik)

Additional Preferred Qualifications

• Knowledge and experience working with medium to large banking firms
• Familiarity with cloud platforms (AWS, Azure, or GCP) and data storage solutions
• Experience with APIs developed with programming languages (e.g. Java, Scala, Python)

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