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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Tunabear Consulting Services, is seeking the following. Apply via Dice today! Data/BI Architect • Contract length: 1-2 years+ • Expected start date: October 6, 2025 • Location: Pontiac, Michigan • Must be able to be on-site a MINIMUM of two days a week. Seeking a talented consultant for our direct local govt client for a Data Business Intelligence (BI) Architect role. This will be a hybrid of data architecture, engineering & business strategy, bridging the gap between tech data solutions & business objectives. This person will design, develop, and maintain the overall data strategy ensuring the client 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 Architechture 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 Management: 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 Management: 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 and mentorship across the organization, establishing best practices for data management & BI development. ENVIRONMENT Role includes defining data platform tech stack. Example tech below; not required to have experience in all. • Data Platforms: DW & lake concepts including dimensional modeling and cloud services: • S3 • AWS Redshift • RDS • Azure Data Lake Storage • Synapse Analytics • BigQuery • Databricks • Snowflake • Informatica • Databases: SQL & relational/non-relational: • SQL Server • Oracle • PostgreSQL • MongoDB • BI Tools: • Power BI • Business Objects • Tableau • Crystal • Looker • ETL/ELT: • Cloud native tools • AWS Glue • Azure Data Factory • Google Cloud Dataflow • in-warehouse transform tools: • Fivetran • Talend • dbt • Big Data Tech: • Hadoop • Spark • Kafka • Programming/API: • Python • Keras • Scikit-learn • R • XML; • ML/DL/Analytic Engines: • TensorFlow • PyTorch • Trillium • Apache Spark • Modeling Tools: • MS Visio • ER/Studio • PowerDesigner Source systems incl. on-prem, cloud, & SaaS