Senior Data Engineer

One of our clients in government domain is seeking a Senior Data Engineer to design and implement Agency data engineering solutions, including data platform evaluation, selection recommendations, data modeling, and enterprise data architecture development. This position will serve as a senior technical contributor responsible for shaping and advancing the Agency’s data ecosystem through scalable, secure, and well-governed data design practices. Senior Data Engineer will make technical decisions affecting configuration and implementation of data analytics environments, data platforms, integration systems, and environment-specific data storage solutions. The position will collaborate with IT Architecture staff, the Agency CIO, and IT Managers to design data solutions aligned with agency business needs, enterprise standards, and long-term architectural direction. Senior Data Engineer will assist in evaluating solution designs, contributing to business case analysis, and recommending IT architecture improvements.

Senior Data Engineer

Remote (1 day on site)

Teams Interview

30 E Broad Street, 13th Floor Columbus, OH 43215

Long Term Contract

Responsibilities:

Designing and maintaining conceptual, logical, and physical data models supporting enterprise analytics and operational systems Establishing and promoting data modeling standards, naming conventions, and design patterns Contributing to the development and evolution of the Agency’s enterprise data architecture roadmap Supporting domain-driven and scalable data design approaches aligned with enterprise data platforms and data governance objectives Providing architectural guidance to ensure data solutions are reusable, interoperable, and aligned with enterprise integration strategies Recommend technical strategy by defining tasks and leading technical discussions related to design, implementation, operation, optimization, and ongoing maintenance of data systems. work closely with Enterprise partners to determine and configure integrations between agency systems and enterprise data lake, data quality, and data curation platforms. provide technical leadership and guidance to DODD’s Data Management team by designing and implementing best-practice solutions for integrating agencies and enterprise data platform environments.

Experience:

It is critical that this position possesses at least five (5) years of proven experience related to data integration, data cleansing, data classification, and data modeling.

Skills Required:

5 years of Experience with Salesforce platforms. 5 years of Experience with Microsoft Environments including Azure and Dynamics. 5 years of Experience with StreamSets data integration pipelines. 5 years of Experience with Snowflake data platform. 5 years of Experience with Tableau analytics integration.