Data Architect II
GM Financial
full-time
Posted on:
Location Type: Hybrid
Location: Arlington • Texas • United States
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About the role
- Design modern data architectures including Data Lakehouse medallion patterns, Data Lakes, and Data Warehouses; create logical/physical data models using relational, dimensional, and Data Vault techniques.
- Develop scalable cloud data solutions leveraging Databricks Delta Lake, Azure data storage, and multi‑cloud platforms (Snowflake, AWS S3/Redshift); ensure efficient data movement, integration, and storage.
- Analyze and model complex datasets—identify patterns across disparate systems, define data flows, document integration strategies, and create clear diagrams (ERDs, conceptual/data flow diagrams) for technical and non‑technical audiences.
- Apply and uphold data governance standards by maintaining enterprise modeling guidelines, collaborating with business and IT teams, and partnering with developers, SREs, and data engineers to enable high‑quality, data‑driven solutions.
- Support continuous improvement by staying current on emerging data technologies and trends and contributing to innovation across GM Financial; experience with Power BI or similar tools is preferred.
Requirements
- 2–4 years of data modeling with strong experience designing databases, ETL patterns, and documenting data architecture.
- Hands-on cloud data experience (2–4 years) with Azure preferred, plus exposure to Databricks Delta Lake and multi‑cloud platforms (AWS or GCP).
- Background in enterprise data environments, including transactional and analytical data, data governance, and data administration; experience with Oracle/Exadata or SQL Server is a plus.
- Experience building cloud and DevOps‑enabled data pipelines, using tools such as Databricks Jobs, Kafka, Azure Event Hub, or Service Bus; exposure to ML/advanced analytics deployment is a plus.
- Education: Bachelor’s degree in a related field or equivalent experience required; Master’s preferred.
Benefits
- 401K matching
- bonding leave for new parents (12 weeks, 100% paid)
- tuition assistance
- training
- GM employee auto discount
- community service pay
- nine company holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data modelingETL patternsdata architecturecloud data solutionsdata governancedata integrationdata pipelinesdata analysisdata visualizationdata administration
Soft skills
collaborationcommunicationproblem-solvinginnovationcontinuous improvement