What are the responsibilities and job description for the BEH5I3-Data Solution Architect 3 - B58-Data Solution Architect position at ACL Digital?
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).
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).