Principal Data Engineer I - Bread Financial

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Job Summary

Essential Job Functions

Oversee and champion strategic initiatives for advanced data solutions. Act as the primary technical liaison with leadership, ensuring alignment on data strategies - (15%)

Serve as the leading voice on cutting-edge data technologies. Spearhead the design and implementation of agile practices, fostering innovation and guiding the team on the latest industry trends and data platform solutions. - (15%)

Possess deep expertise in industry leading Data Engineering tools. Provide oversight on adopting and leveraging tools ensuring alignment with enterprise cloud strategies. - (15%)

Formulate and lead strategic collaborations with enterprise partners to enhance and expand data capabilities. Drive consensus and gain endorsement from governance teams, ensuring successful planning and execution of innovative data initiatives. - (15%)

Define and advocate the strategic vision for data product/service, overseeing backlog management and market research to deliver pioneering solutions. Lead the architecture and optimization of advanced data solutions, focusing to drive efficiency. - (15%)

Assume end to end responsibility for ensuring efficient workflows through the agile product management cycle. Prioritize technical design and delivery, while setting benchmarks for success criteria, testing, configuration, and coding standards. - (15%)

Oversee comprehensive monitoring, reporting, and forecasting of data platform performance and costs. Continuously refine the business case to support strategic decision-making and resource allocation for assigned functions. - (10%)

Minimum Qualifications

Bachelor’s Degree or equivalent experience in Computer Science

15+ years or more of work experience and knowledge of the major industry toolsets used in Data Engineering.

Experience developing systems intended for cloud deployments (AWS, EKS, lambda’s, etc.). Exposure Azure data environment and familiarity with associated tools would be added advantage. Experience in modelling a third normal form, Star / Snowflake Data Warehouse system. Good experience in Data Profiling and Analysis

Preferred Qualifications

Master’s Degree or equivalent experience in Computer Science

Experience with relational (Microsoft SQL Server, Oracle), columnar (NoSQL), Hadoop Distributed File System/HDSF (Azure ADLS, AWS EMS, Databricks), and graph databases.

Experience with ETL/ELT (Azure ADF, AWS Glue, Informatica) and on premise and cloud based data solutions. Experience preferred as Agile product owner or scrum master experience, Hadoop, Spark.