Data / BI Architect

Data / BI Architect

Hybrid Position Currently 2 days a week onsite in Pontiac, Michigan

Ideal to be local but not required.

12 month contract.

NO H1s

Additional Information:

Initial 15-20min remote interview; followed by F2F round 2

$85-$87/hr. on W2 +9 days PTO without Health Benefits.

Data / BI Architect #1034890

Job 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.

Environment:

· Role incl. defining data platform tech stack. Example tech 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;

· 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;