Data BI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data BI Architect in Oakland County, MI, on a long-term contract. Key skills include data architecture, ETL/ELT management, and data governance. Experience in designing scalable data solutions and strong stakeholder collaboration is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 27, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Oakland County, MI
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🧠 - Skills detailed
#Data Mart #Security #Visualization #Physical Data Model #Leadership #Data Architecture #Compliance #Data Quality #BI (Business Intelligence) #Strategy #Data Strategy #Data Modeling #Scala #"ETL (Extract #Transform #Load)" #Metadata #Data Lake #Data Pipeline #Data Warehouse #Data Catalog #Data Ingestion #Data Governance
Role description
Position Title: Data / BI Architect
Job Location: Oakland County, MI (Hybrid)
Duration: Contract – Long term Contract
Description
Data Business Intelligence (BI) Architect role is a hybrid of data architecture, engineering & business strategy, bridging the gap between tech data solutions & business objectives.
Designs, develops & maintains the overall data strategy ensuring the County data in scope is accessible, reliable & secure for analysis and decision-making.
The right candidate has experience in architecting data solutions that can be used for descriptive, diagnostic, predictive & prescriptive analytic solutions.
KEY RESPONSIBILITIES:
• Stakeholder Collaboration: Work closely with business & IT stakeholders to gather req & translate business needs into tech specifications, including identification of data sources.
• Data Arch Design & Data Modeling: Architect & implement scalable, secure & efficient data solutions, including data warehouses, data lakes, and/or data marts.
• Design conceptual, logical & physical data models. Tool and Platform Selection: Evaluate, recommend & implement tools aligned with recommended architecture, including visualization tools aligned with business needs. ETL/ELT Pipeline Mgt: Design, develop & test data pipelines, integrations to source mgt & ETL / ELT processes to move data from various sources into the data warehouse.
• Data Catalog & Metadata Mgt: Design, create & maintain an enterprise-wide data catalog, automating metadata ingestion, establishing data dictionaries, and ensuring that all data assets are properly documented & tagged.
• Data Governance and Discovery: Enforce data governance policies through the data catalog, ensuring data quality, security & compliance.
• Enable self-service data discovery for users by curating & organizing data assets in an intuitive way. Performance Optimization: Monitor & optimize BI systems & data pipelines to ensure high performance, reliability & cost-effectiveness.
• Technical Leadership: Provide technical guidance & mentorship across the organization, establishing best practices for data mgt & BI development.
Position Title: Data / BI Architect
Job Location: Oakland County, MI (Hybrid)
Duration: Contract – Long term Contract
Description
Data Business Intelligence (BI) Architect role is a hybrid of data architecture, engineering & business strategy, bridging the gap between tech data solutions & business objectives.
Designs, develops & maintains the overall data strategy ensuring the County data in scope is accessible, reliable & secure for analysis and decision-making.
The right candidate has experience in architecting data solutions that can be used for descriptive, diagnostic, predictive & prescriptive analytic solutions.
KEY RESPONSIBILITIES:
• Stakeholder Collaboration: Work closely with business & IT stakeholders to gather req & translate business needs into tech specifications, including identification of data sources.
• Data Arch Design & Data Modeling: Architect & implement scalable, secure & efficient data solutions, including data warehouses, data lakes, and/or data marts.
• Design conceptual, logical & physical data models. Tool and Platform Selection: Evaluate, recommend & implement tools aligned with recommended architecture, including visualization tools aligned with business needs. ETL/ELT Pipeline Mgt: Design, develop & test data pipelines, integrations to source mgt & ETL / ELT processes to move data from various sources into the data warehouse.
• Data Catalog & Metadata Mgt: Design, create & maintain an enterprise-wide data catalog, automating metadata ingestion, establishing data dictionaries, and ensuring that all data assets are properly documented & tagged.
• Data Governance and Discovery: Enforce data governance policies through the data catalog, ensuring data quality, security & compliance.
• Enable self-service data discovery for users by curating & organizing data assets in an intuitive way. Performance Optimization: Monitor & optimize BI systems & data pipelines to ensure high performance, reliability & cost-effectiveness.
• Technical Leadership: Provide technical guidance & mentorship across the organization, establishing best practices for data mgt & BI development.
