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Data Catalog Jobs in Michigan (NOW HIRING)

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

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 ...

Masco Corporation

Enterprise Data Architect

Livonia, MI · On-site

Maintain the enterprise knowledge base and catalog for definitions, lineage, and material changes ... Data Engineering Leader and Data Engineers: Provide specs, standards, and design authority. Partner ...

New

Phinia, Inc.

Catalog Fitment Analyst

Auburn Hills, MI · On-site

Perform regular data audits, quality checks, and validation to maintain accuracy, consistency, and ... Ensure the catalog meets the needs of the end customer, making it easier to navigate, search for ...

Phinia

Catalog Fitment Analyst

Auburn Hills, MI

Perform regular data audits, quality checks, and validation to maintain accuracy, consistency, and ... Ensure the catalog meets the needs of the end customer, making it easier to navigate, search for ...

Pwc

Data Strategy-Manager

Detroit, MI · On-site

$99K - $232K/yr

... Catalog Professional - Collibra Certified Ranger/Steward/Expert - SAP Certified Application Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data ...

FastTek

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

Experience with data governance, master data management, and data catalog solutions. * Experience leading enterprise-scale data transformation initiatives. Technical Skills: * Data Product Management

Pwc

Data Governance- Manager

Detroit, MI · On-site

$99K - $232K/yr

... Catalog Professional - Collibra Certified Ranger/Steward/Professionals - SAP Certified Application Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Pwc

Data Strategy-Manager

Grand Rapids, MI · On-site

$99K - $232K/yr

... Catalog Professional - Collibra Certified Ranger/Steward/Expert - SAP Certified Application Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data ...

Pwc

Data Governance- Manager

Grand Rapids, MI · On-site

$99K - $232K/yr

... Catalog Professional - Collibra Certified Ranger/Steward/Professionals - SAP Certified Application Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Experience with data governance, master data management, and data catalog solutions. * Experience leading enterprise-scale data transformation initiatives. Technical Skills * Data Product Management

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Data Catalog information

See Michigan salary details

$9

$37

$65

How much do data catalog jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data catalog in Michigan is $37.76, according to ZipRecruiter salary data. Most workers in this role earn between $17.52 and $54.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a data catalog, and why are they important?

To excel in a Data Catalog role, you need a comprehensive understanding of data management principles, metadata standards, and experience with data governance frameworks, typically supported by a degree in information technology, computer science, or a related field. Familiarity with data catalog tools such as Collibra, Alation, or Informatica, and relevant certifications like DAMA or CDMP, are highly beneficial. Strong analytical thinking, attention to detail, and effective stakeholder communication are critical soft skills. These capabilities ensure the organization, discoverability, and governance of data assets, empowering teams to confidently leverage data while maintaining compliance.

What are the typical daily responsibilities of a data catalog?

In a Data Catalog role, your primary daily responsibilities often include maintaining and updating metadata in the data catalog platform, ensuring data sources are accurately documented, and collaborating with data stewards to uphold data quality standards. You may also facilitate the onboarding of new data assets, address user queries regarding data discoverability, and support data governance initiatives by enforcing cataloging best practices. Regular interaction with data engineers, analysts, and business stakeholders is common, as you help bridge the gap between technical systems and business needs. This role is instrumental in making organizational data more accessible, trustworthy, and valuable across teams.

What is a data catalog?

A Data Catalog job typically involves managing and maintaining an organization's data catalog, which serves as a central repository for metadata about data assets. This role includes tasks such as organizing, classifying, and documenting data to improve discoverability, governance, and usability. Professionals in this field collaborate with data engineers, analysts, and business stakeholders to ensure data is well-documented and accessible. The goal is to enhance data quality, compliance, and efficiency in an organization’s data management strategy.

What are popular job titles related to Data Catalog jobs in Michigan? For Data Catalog jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Catalog jobs in Michigan look for? The top searched job categories for Data Catalog jobs in Michigan are:
Data Catalog jobs near you
Infographic showing various Data Catalog job openings in Michigan as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $78,551 per year, or $37.8 per hour.

Data / BI Architect

Tech Tammina LLC

Pontiac, MI • On-site

Contractor

Re-posted 7 days ago

Job description

Role: Data / BI Architect

Location: Pontiac, MI

Duration: 12Months +

About role:

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;