Power Bi Data Engineer Jobs in Georgia (NOW HIRING)

• Creates the foundation for a new Power BI department inside the AHI Data Strategy & BI team, including team structure, operating model, standards, intake, delivery, quality control, and support practices.

• Sets the standard for all AHI Data Strategy Power BI reporting across Arrowhead Programs, Bridge Specialty Group, and Arrowhead Specialty, balancing divisional needs with enterprise consistency.

• Ensurebusiness users receive correct, governed, and accessible information through certified datasets, standardized metrics, report governance, and disciplined release management.

• Leads complex reporting scenarios involving unique row-level security requirements, different business models, varying levels of data maturity, and cross-division datasets that must be combined responsibly.

Skills & Experience to Be Successful:

Required:

• 10+ years of business intelligence, analytics, data platform, or reporting experience, including 5+ years of advanced Power BI experience and 3+ years in a senior lead, architect, administrator, or BI platform ownership role.

• Required insurance industry experience, preferably in property and casualty, specialty insurance, MGA/MGU, wholesale brokerage, retail agency, carrier, or insurance distribution environments.

• Demonstrated experience building or maturing a BI team, reporting function, governance program, center of excellence, or enterprise analytics operating model.

• Expert-level Power BI skills, including semantic modeling, DAX, Power Query, dataflows, deployment pipelines, workspace design, performance tuning, incremental refresh, composite models, report design, and tenant/capacity administration.

• Strong understanding of Power BI governance, report certification, data cataloging, stewardship, metric standardization, security, lifecycle management, production support, and adoption practices.

• Proven ability to design and implement complex row-level security models and access-control patterns across multiple business units, hierarchies, and user groups.

• Advanced SQL and data modeling experience, including dimensional modeling, star and snowflake schemas, relational databases, data warehouses,lakehousepatterns, curated datasets, and semantic layers.

• Experience combining data across multiple divisions, platforms, source systems, and maturity levels, with the judgment toidentifylimitations, document assumptions, and avoid misleading insights.

• Strong business analysis and stakeholder management skills, with the ability to translate executive and operational needs into clear data products, technical specifications, and governance practices.

• Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences and influence leaders to adopt standards.

• Strong designsensibility for executive reporting, including visualization best practices, accessibility, user experience, branding, storytelling, layout, filters, slicers, navigation, and actionable insights.

• Demonstrated ability to lead highly visible initiatives whileremaininghands-on in architecture, development, troubleshooting, and quality review.

• Bachelor's degree in computer science, Information Systems, Statistics, Analytics, Data Science, Business, or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience with Azure, Databricks, Microsoft Fabric, Azure Data Lake, Synapse, SQL Server, Analysis Services, Purview, or related Microsoft data platform capabilities.

• Experience with Tableau or other BI tools, especially where tool rationalization or standardizationwasrequired.

• Experience in data governance, master data management, data quality, metadata management, data lineage, stewardship, or enterprise data strategy.

• Power BI, Fabric, Azure Data Engineer, Azure Solutions Architect, or related Microsoft certifications.

• Experience with Python, R, APIs, automation, DevOps, Git, or advanced analytics workflows.