Enterprise Data Architect: Cloud-native Platform Modernization

Data Architect (1 position)

Senior data architect with strong experience designing and modernizing enterprise data platforms for large financial institutions. Expertise includes data architecture, cloud data platforms, ETL and pipeline modernization, data modeling, governance alignment, and integration across complex banking ecosystems. Strong background in Snowflake, Databricks, AWS, Azure, and enterprise data migration programs.

Experienced data engineers with strong hands‑on expertise in building and supporting scalable ETL and ELT pipelines for banking and financial services clients. Experience includes Python, SQL, Spark, Airflow, Snowflake, Dbt, Fivetran, Talend, Informatica, and cloud-based data engineering frameworks. Supported legacy‑to‑modern platform migrations, batch and near real‑time pipeline development, performance optimization, data validation and reconciliation, reusable framework development, and production support across enterprise‑scale banking data environments.

Metadata analyst with experience supporting data governance, metadata onboarding, lineage, glossary, and catalog initiatives. Skilled in partnering with business and technical teams to document critical data elements, data definitions, lineage relationships, and governance workflows using enterprise metadata and governance platforms.

Business‑oriented data analysts with experience in data analysis, data mapping, profiling, reconciliation, reporting support, source‑to‑target mapping, validation support, and requirements gathering for banking and enterprise data initiatives. Strong SQL skills and experience working closely with business users and technology teams to support insights, controls, and data quality efforts in regulated environments.