Back
Strong employer brand but senior, specialized financial data and ETL focus reduces generalist applicant pool.
High — requires financial services domain expertise and specific enterprise data integration experience.
High — explicit 10+ years, mandatory ETL/data integration experience and specific Snowflake/Azure/tool requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Define and document business and technical requirements for enterprise data integration, ETL/ELT modernization, and cloud data warehousing involving platforms like Snowflake, Azure, SQL Server, and Oracle.
Partner with business and technical teams to deliver scalable, secure, and configurable cloud-native financial data integration solutions, including ingestion, transformation, validation, reconciliation, and exception handling.
Manage Agile Scrum activities such as backlog refinement, sprint planning, and stakeholder communications to ensure timely delivery of high-quality data integration capabilities.
10+ years in business, product, or systems analysis within software delivery, data platforms, or fintech, with 5+ years supporting enterprise data integration and data warehousing initiatives.
Strong financial services domain experience, especially with investment, market, reference data, or financial operations data.
Proficiency with cloud-based data platforms and ETL/ELT tools (e.g., Snowflake, Azure Data Factory, Informatica Cloud) and strong SQL skills.
Bachelor’s degree in Finance, Computer Science, Information Systems, or related fields; advanced degree (MS, MBA) strongly preferred.
Experienced in bridging complex business financial data needs with technical cloud data integration solutions in Agile environments.
Skilled at creating detailed documentation including source-to-target mappings, transformation specs, business rules, and acceptance criteria involving cross-functional teams.
Comfortable navigating enterprise-scale data modernization with knowledge of cloud architectures, data governance, financial data regulatory compliance, and production support.