Data / BI Architect

V2Soft-posted 4 months ago

Mid Level

Pontiac, MI

1,001-5,000 employees

Professional, Scientific, and Technical Services

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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.

Work closely with business & IT stakeholders to gather requirements & translate business needs into technical specifications, including identification of data sources.
Architect & implement scalable, secure & efficient data solutions, including data warehouses, data lakes, and/or data marts.
Design conceptual, logical & physical data models.
Evaluate, recommend & implement tools aligned with recommended architecture, including visualization tools aligned with business needs.
Design, develop & test data pipelines, integrations to source management & ETL/ELT processes to move data from various sources into the data warehouse.
Design, create & maintain an enterprise-wide data catalog, automating metadata ingestion, establishing data dictionaries, and ensuring that all data assets are properly documented & tagged.
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.
Monitor & optimize BI systems & data pipelines to ensure high performance, reliability & cost-effectiveness.
Provide technical guidance & mentorship across the organization, establishing best practices for data management & BI development.

5+ years of experience in data architecture and business intelligence.
Experience in architecting data solutions for descriptive, diagnostic, predictive & prescriptive analytics.
Strong understanding of data governance policies and data quality assurance.
Proficiency in designing and implementing data warehouses, data lakes, and data marts.
Experience with ETL/ELT processes and data pipeline management.

Familiarity with cloud services such as AWS Redshift, Azure Data Lake Storage, and Google BigQuery.
Experience with BI tools like Power BI, Tableau, and Looker.
Knowledge of programming languages such as Python and R.
Experience with big data technologies like Hadoop and Spark.

Equal Opportunity Employer (EOE) status.
Welcoming environment for applicants from all backgrounds, including individuals with disabilities and veterans.

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