Sr Datawarehouse Architect for New York City NY

 

·         Design, develop, and optimize scalable data warehouse architectures leveraging Azure cloud services.

·         Build and maintain robust data pipelines and workflows using Azure Databricks and Python.

·         Collaborate with business teams to understand data requirements and translate them into effective technical solutions.

·         Ensure high data quality, security, and compliance with industry standards and regulations.

·         Lead efforts to migrate legacy data systems to modern cloud-based architectures.

·         Develop data models, ETL/ELT processes, and performance tuning strategies.

·         Provide technical leadership, mentorship, and guidance to data engineering teams.

·         Monitor data pipelines for reliability and troubleshoot issues as they arise.

·         Stay current with emerging technologies, tools, and best practices in big data, cloud computing, and financial data management.

 

·         Define and operationalize the Data Governance framework covering data ownership, stewardship, classification, lineage, and quality SLAs in collaboration with the CDO and Compliance teams.

·         Implement automated end-to-end data lineage capabilities to support audit trails and regulatory examinations.

·         Establish and monitor data quality dimensions such as completeness, accuracy, consistency, and timeliness with automated profiling and alerting for critical financial datasets.

·         Drive data cataloguing initiatives, business glossary management, and metadata enrichment to improve enterprise-wide data democratization.

·         Ensure adherence to financial industry governance, security, privacy, and regulatory requirements.