BEH5I3-Data Solution Architect 3 - B58-Data Solution Architect

Position Responsibilities:

• Design, develop, maintain, and optimize internal data solutions supporting data warehouse/BI, data lake integration, and master data/governance needs for Structural Test Labs.
• Partner with project managers, business leaders, lab engineers, IT focal teams, and data scientists/architects to translate operational/test needs into durable data products (datasets, models, dashboards, and workflows).
• Establish and maintain data management practices that emphasize data quality, traceability/lineage, documentation, and controlled access.
• Enable and sustain Power BI reporting capabilities (e.g., curated datasets/semantic alignment, refresh strategy, certified/shared datasets where applicable).
• Build and sustain M365-based solutions using SharePoint (lists/libraries, permissions, information organization) as part of data/process workflows.
• Drive automation and workflow digitization using Power Apps and Power Automate to reduce manual effort, improve data integrity, and standardize recurring processes.
• Integrate datasets from multiple sources using existing enterprise tools/connectors, emphasizing reuse, scalability, and maintainability.
• Apply version control practices (e.g., Git) to manage solution artifacts and promote repeatable delivery; leverage CI/CD where feasible.
• Provide guidance to data and analytics teammates on data standards, reuse, operational stability, and solution sustainment commensurate with level.
• Employer will not sponsor applicants for employment visa status.

Required Skills:

• 3+ years of professional experience in data solutions, analytics, data architecture, data engineering, or related roles.
• Experience delivering solutions using Power BI (dashboards and/or governed datasets supporting reporting).
• Experience building solutions leveraging Microsoft 365, including SharePoint.
• Proficiency/experience driving automation using Power Apps and Power Automate (requirements through deployment/sustainment).
• Experience with data management fundamentals (e.g., data definitions, data quality, access control, documentation/lineage concepts).
• Experience using a version control tool (e.g., Git) in a team environment.
• Strong stakeholder communication skills across technical and non-technical audiences.
• Bachelor''s degree in Computer Science, Information Systems, Engineering, or related field.
• Ability to meet U.S. Person requirements.

Preferred Skills:

• Experience integrating data across a data warehouse and/or data lake environment (cloud experience a plus; Azure preferred but not required).
• Familiarity with master/reference data concepts and governance workflows (stewardship, standard definitions, controlled change).
• Experience with low-code data integration/transform patterns and tooling; light SQL proficiency for validation/troubleshooting is a plus.
• Experience with Power Platform governance concepts (environments, permissions, connectors, DLP policies) and operational best practices.
• Exposure to CI/CD practices and/or Infrastructure as Code (plus).