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Contract Collibra Developer Jobs in Michigan (NOW HIRING)

... contract non-benefitted, No PTO ever hour worked is an hour paid) * Responsible for designing ... Data Cataloguing tools like Collibra * Data Transformation tools like Dataiku * Dashboarding tools ...

Data Modeler

Sterling Heights, MI · Hybrid

$52 - $62/hr

Collaborate with business analysts, data architects, developers, and other stakeholders to gather ... Data Cataloguing tools like Collibra * Data Transformation tools like Dataiku * Dashboarding tools ...

... to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid ... Data Cataloguing tools like Collibra * Data Transformation tools like Dataiku * Dashboarding tools ...

... to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid ... Data Cataloguing tools like Collibra * Data Transformation tools like Dataiku * Dashboarding tools ...

Data Modeler

Sterling Heights, MI · Hybrid

$52 - $62/hr

Collaborate with business analysts, data architects, developers, and other stakeholders to gather ... Data Cataloguing tools like Collibra * Data Transformation tools like Dataiku * Dashboarding tools ...

Data Modeler

Sterling Heights, MI · On-site

$52 - $62/hr

Collaborate with business analysts, data architects, developers, and other stakeholders to gather ... Data Cataloguing tools like Collibra * Data Transformation tools like Dataiku * Dashboarding tools ...

Data Modeler

Sterling Heights, MI · Hybrid

$52 - $62/hr

Collaborate with business analysts, data architects, developers, and other stakeholders to gather ... Data Cataloguing tools like Collibra * Data Transformation tools like Dataiku * Dashboarding tools ...

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Contract Collibra Developer information

What is the difference between Contract Collibra Developer vs Contract Data Analyst?

AspectContract Collibra DeveloperContract Data Analyst
Required CredentialsCollibra certifications, SQL, data management skillsData analysis certifications, SQL, Excel proficiency
Work EnvironmentData governance platforms, collaboration toolsData reporting tools, spreadsheets, databases
Employer & Industry UsageFinancial, healthcare, and tech sectors using CollibraVarious industries focusing on data insights and reporting

The Contract Collibra Developer primarily focuses on implementing and maintaining Collibra data governance tools, requiring specific platform knowledge. In contrast, a Contract Data Analyst emphasizes analyzing data sets and generating reports, often using different tools. Both roles require strong SQL skills but differ in platform expertise and daily tasks, catering to different aspects of data management and analysis.

What job categories do people searching Contract Collibra Developer jobs in Michigan look for? The top searched job categories for Contract Collibra Developer jobs in Michigan are:
What cities in Michigan are hiring for Contract Collibra Developer jobs? Cities in Michigan with the most Contract Collibra Developer job openings:

Google Cloud Platform Data Architect

Reliable Software Resources

Detroit, MI • Remote

$58.25 - $75/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Role: Google Cloud Platform Data Architect

Location: Detroit, MI

Hire-type: Contract

Experience: 8+ years  |  Detroit, MI (mandatory) — Remote up to 50% travel  

Python

Google Cloud Platform Native

Data Warehousing

BigQuery

Data Modeling

ETL / ELT Pipelines

ABOUT THE ROLE

As a Google Cloud Platform Data Architect at DataFactZ you will own the end-to-end design of cloud-native data warehouse and data platform solutions on Google Cloud. You will define data architecture standards, establish data modeling patterns, and lead the design of scalable ingestion and transformation pipelines — working hands-on with engineering teams to deliver production-grade data systems for enterprise clients.

 

KEY RESPONSIBILITIES

•      Architect enterprise data warehousing solutions on Google Cloud Platform using BigQuery as the primary analytical platform, including logical and physical data model design

•      Design and implement data modeling patterns: star schema, snowflake, data vault, and wide-table approaches optimized for BigQuery performance and cost

•      Define lakehouse architectures across BigQuery and Cloud Storage using Parquet, Avro, and ORC formats with appropriate partitioning and clustering strategies

•      Lead the design of batch and streaming ingestion pipelines using Dataflow (Apache Beam), Dataproc (PySpark), Pub/Sub, and BigQuery Data Transfer Service

•      Establish transformation layer standards using dbt or Python-based ELT patterns within BigQuery

•      Design pipeline orchestration frameworks using Cloud Composer (Airflow) for complex multi-step workflows

•      Define data governance standards: schema management, data lineage, access controls, and partitioning policies across Google Cloud Platform projects

•      Lead technical discovery with client stakeholders, produce architecture decision records, and translate business requirements into data platform designs

•      Mentor data engineers and ensure adherence to architecture standards across delivery teams

 

REQUIRED SKILLS

•      Python: Advanced proficiency for pipeline development, data transformation scripts, and Google Cloud Platform SDK/API integrations

•      Google Cloud Platform expertise: Deep hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud SQL

•      Data warehousing: Proven experience designing enterprise-scale data warehouses with dimensional and vault modeling techniques

•      Data modeling: Strong ability to design logical and physical models for analytical and operational workloads on BigQuery

•      ETL/ELT pipelines: Designing and overseeing large-scale batch and streaming data pipelines for structured and semi-structured data

•      SQL: Expert-level BigQuery SQL including window functions, nested/repeated fields, partitioning, and query optimization

•      Leadership: Ability to lead architecture decisions, align cross-functional teams, and mentor engineers

 

PREFERRED

•      Google Cloud Platform certifications: Professional Data Engineer or Professional Cloud Architect

•      Experience with dbt Cloud for BigQuery transformation and documentation

•      Familiarity with data catalog tools: Dataplex, Data Catalog, or Collibra on Google Cloud Platform

•      Exposure to real-time analytics patterns using BigQuery streaming inserts or Bigtable