Sr Data Architect

Responsibilities will include the following but are not limited to: Design and implement analytics-ready data models specifically optimized for reporting and performance. Build and maintain Power BI datasets, semantic models, and shared data sources that support: Operational reporting Financial and performance reporting Executive dashboards Ensure reports are sourced from governed, consistent datasets, reducing duplication and conflicting metrics. Partner directly with business users and analysts to understand reporting requirements and translate them into data models and reusable datasets. Improve report performance, reliability, and refresh stability through proper modeling, aggregation strategies, and Fabric/Azure SQL optimization. Enterprise Data Strategy Define a practical, phased enterprise data strategy and roadmap aligned to business priorities. Establish architectural standards that balance scalability, cost, and usability. Translate business and operational needs into actionable data solutions-not just diagrams. Data Governance & Quality Personally implement data governance practices, including: Data ownership and stewardship models Data quality rules and monitoring Metadata, documentation, and lineage standards Ensure data platforms meet security, access control, and compliance requirements in coordination with IT security. Collaboration & Influence Partner closely with IT, Finance, Operations, and business leaders to ensure data solutions are usable and trusted. Act as the technical authority on enterprise data decisions. For Consideration forward resumes to Alex@protegehunters.com

Protege Hunters has an opportunity for a Data Architect. The ideal candidate will specialize in Data and Design and personally implement core components of the enterprise data architecture using Microsoft Fabric (Lakehouse, Warehouse, OneLake) and Azure data services.and have hands-on experience to architect, build, and own an enterprise data platform. Specifically: Deep Snowflake/Databricks and modern cloud data engineering experience.Strong Microsoft Azure/Fabric experience preferred. This individual will bring drive, passion and the desire to make a long-term impact. Qualifications: Must have 7 plus years Hands-On experience in the following: 7+ years in data architecture, data engineering, or analytics architecture roles. Experience integrating data across multiple SaaS/vendor platforms. Proven ability to design and build cloud-native data architectures. Solid understanding of data governance implemented in real environments (not just frameworks). SME with Design and personally implement core components of the enterprise data architecture using Microsoft Fabric (Lakehouse, Warehouse, OneLake) and Azure data services. Strong SQL skills, including data modeling, transformations, query optimization, and troubleshooting. Experience building reliable data pipelines using Python, APIs, cloud storage, and modern data integration tools. Experience integrating ERP, SaaS, APIs, and operational systems into a centralized data platform. Experience working with structured and semi-structured data sources, including REST APIs, JSON, CSV, Excel, databases, and SaaS exports. Familiarity with data transformation, orchestration, and integration tools such as dbt, Airbyte, Fivetran, Dagster, Airflow, GitHub Actions, or similar platforms. Experience with Git-based development workflows and basic software engineering practices. Interest in AI-enabled analytics, automation, and internal tools, including practical use of AI coding assistants and LLM-based workflows. Experience with business intelligence and reporting tools, especially Power BI, including data modeling, Power Query, DAX, dashboard development, and report performance tuning. Must Have Skills: Microsoft Fabric, Microsoft Excel, Azure, SQL Power BI, Power Platform / Dataverse, Databricks, Python, Snowflake, Synapse REST APIs, JSON, CSV, Excel,databases, andSaaS exports Experience with Microsoft Purview or similar governance tooling. Azure or Fabric certifications. Experience establishing data foundations in cloudonly organizations. Bachelor’s degree in computer science, Data Engineering, Business Administration, or a related field.