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)

Please email your resume or

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Keywords: data warehouse bricks snowflake sql ETL financial banking ERP reporting visualization powerBI Qlik api aws azure gcp java scala python

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