Data / BI Architect

V2Soft•Pontiac, MI

6d•Hybrid

About The Position

The 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.

Requirements

5+ years of experience
Experience in architecting data solutions that can be used for descriptive, diagnostic, predictive & prescriptive analytic solutions.
Experience with DW & lake concepts incl. dimensional modeling & cloud services (S3, AWS Redshift, RDS, Azure Data Lake Storage, Synapse Analytics, BigQuery, Databricks, Snowflake, Informatica).
Experience with SQL & relational/non-relational databases (SQL Server, Oracle, PostgreSQL, MongoDB).
Experience with BI Tools: Power BI, Business Objects, Tableau, Crystal, Looker.
Experience with ETL/ELT tools: Cloud native (AWS Glue, Azure Data Factory, Google Cloud Dataflow) & in-warehouse transform tools (Fivetran, Talend, dbt).
Experience with Big Data Tech: Hadoop, Spark, Kafka.
Experience with Programming/API: Python, Keras, Scikit-learn, R, XML.
Experience with ML/DL/Analytic Engines: TensorFlow, PyTorch, Trillium, Apache Spark.
Experience with Modeling Tools: MS Visio, ER/Studio, PowerDesigner.
Experience with source systems incl. on-prem, cloud, & SaaS.
Must be able to be on-site at OCIT Building a MINIMUM of two days a week.

Responsibilities

Work closely with business & IT stakeholders to gather req & translate business needs into tech 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 mgt & 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 mgt & BI development. Environment Role incl. defining data platform tech stack.