The TS4 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. The TS4 will assist in evaluating solution designs, contributing to business case analysis, and recommending IT architecture improvements.
This role will serve as a significant contributor to the Agency’s data modeling and data architecture practices, including:
• 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
The TS4 will recommend technical strategy by defining tasks and leading technical discussions related to design, implementation, operation, optimization, and ongoing maintenance of data systems. The position will work closely with Enterprise partners to determine and configure integrations between agency systems and enterprise data lake, data quality, and data curation platforms.
It is critical that this position possess at least five (5) years of proven experience related to data integration, data cleansing, data classification, and data modeling. The TS4 will provide technical leadership and guidance to DODD’s Data Management team by designing and implementing best-practice solutions for integrating agency and enterprise data platform environments.
Expected technologies and environments include, but are not limited to:
• Salesforce platforms
• Microsoft Environments including Azure and Dynamics
• StreamSets data integration pipelines
• AWS S3 storage environments
• Snowflake data platform
• Tableau analytics integration
• Microsoft SQL Server systems
The TS4 will operate as part of a collaborative team consisting of Database Administrators, Data Engineers, and Business Intelligence professionals, while serving as a senior technical resource influencing architectural direction, data standards, and engineering best practices across the Agency
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