Data/BI Architect
Data/BI Architect
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Salary Not Disclosed
1 Vacancy
Job Description
- 1099 C2C
- 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
- Cloud native tools
- 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
Employment Type
Full-time
