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Senior, niche Principal role with wide toolset at a known brand reduces but doesn't eliminate applicant density.
Core data engineering skills transferable, but senior financial domain experience increases fit sensitivity.
Explicit 15+ years requirement and broad mandatory toolset make filters highly stringent.
Lead strategic initiatives for advanced data platform solutions and act as main technical liaison with leadership to align on data strategies.
Spearhead design, implementation, and optimization of innovative data technologies and agile workflows, ensuring industry-standard tool adoption aligned with enterprise cloud strategies.
Oversee performance monitoring, cost forecasting, and drive consensus with enterprise partners and governance teams for successful execution of data initiatives.
Bachelor's Degree or equivalent experience.
15+ years of work experience with major data engineering toolsets and expertise in relational, columnar, Hadoop, and graph databases.
Experience with ETL/ELT tools (Azure ADF, AWS Glue, Informatica) and cloud-based data solutions (AWS, Azure environment exposure is a plus).
Experience in modeling data warehouses (third normal form, star/snowflake schema) and data profiling and analysis.
Senior-level data engineering professional with deep strategic and technical expertise in data platform architecture and cloud deployments.
Experienced in leading cross-enterprise collaboration and governance for data products and services.
Proficient in managing agile product cycles, technical design standards, and performance monitoring within large-scale data environments.