Data Business Intelligence Architect

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NOTE: Local candidates preferred.
This is a Hybrid position.
Must be able to be on-site in Waterford, MI MINIMUM of two days a week.
We can accept H1b, H4, TN and other valid work visas for IT.
However we cannot accept OPT or CPT visas at this time.
Description:
Our client is looking for a Data Business Intelligence Architect.
This role is a hybrid of data architecture, engineering & business strategy, bridging the gap between tech data solutions & business objectives.
The right candidate has experience in architecting data solutions that can be used for descriptive, diagnostic, predictive & prescriptive analytic solutions.
Tasks
Designs, develops & maintains the overall data strategy ensuring the County data in scope is accessible, reliable & secure for analysis and decision-making.
Stakeholder Collaboration
Data Architect Design & Data Modeling
Data Governance and Discovery
Performance Optimization
Technical Leadership
Environment: Example of Technology Below; Not required to have experience in all.
Data Platforms: DW & lake concepts incl.
dimensional modeling & 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 (AWS Glue, Azure Data Factory, Google Cloud Dataflow) & in-warehouse transform tools (Fivetran, Talend, dbt).
Big Data Tech: Hadoop, Spark, Kafka.
ML/DL/Analytic Engines: TensorFlow, PyTorch, Trillium, Apache Spark.
Modeling Tools: MS Visio, ER/Studio, PowerDesigner, Source systems incl.
on-prem, cloud, & SaaS
Skills Required
5+ years - Experience working with business & IT stakeholders to gather requirements & translate business needs into tech specifications, including identification of data sources.
5+ years - Experience with architect & implementing scalable, secure & efficient data solutions, including data warehouses, data lakes, and/or data marts.
Design conceptual, logical & physical data models.
5+ years - Experience evaluating, recommending & implementing tools aligned with recommended architecture, including visualization tools aligned with business needs.
5+ years - Experience designing, developing & testing data pipelines, integrations to source mgt & ETL / ELT processes to move data from various sources into the data warehouse
5+ years - Experience designing, creating & maintaining an enterprise-wide data catalog, automating metadata ingestion, establishing data dictionaries, and ensuring that all data assets are properly documented & tagged.
5+ years - Experience enforcing 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.
5+ years - Experience monitoring & optimizing BI systems & data pipelines to ensure high performance, reliability & cost-effectiveness.
5+ years - Experience providing technical guidance & mentorship across an organization, establishing best practices for data mgt & BI development
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