Data Architect – Databricks | Azure/AWS | Snowflake
Location: Remote (20hr/week)
Visa: USC
Need local to Chicago (if need visit office 2 weeks or 3 weeks once)
Duration: long-term contract
Job Description
We are seeking an experienced Data Architect with strong expertise in Databricks to design and implement scalable, cloud-native data platforms. The ideal candidate will have hands-on experience in modern data architecture, data modeling, ETL/ELT frameworks, Lakehouse architecture, and enterprise data governance. This role involves working closely with business stakeholders, data engineers, and analytics teams to deliver secure, high-performance, and enterprise-scale data solutions.
Required Skills
Key Responsibilities
- Design enterprise-scale Databricks Lakehouse architectures.
- Develop scalable ETL/ELT pipelines using Databricks, PySpark, and SQL.
- Build and optimize Delta Lake, Delta Live Tables (DLT), and Medallion Architecture.
- Design conceptual, logical, and physical data models.
- Lead cloud migration and legacy data modernization initiatives.
- Implement enterprise data governance, security, and metadata frameworks.
- Optimize performance, scalability, and cloud costs.
- Collaborate with business, analytics, and engineering teams to deliver trusted data solutions.
- Mentor data engineers and establish architecture standards and best practices.
Preferred Qualifications
- Experience in Financial Services, Healthcare, Retail, or Insurance domains.
- Exposure to Master Data Management (MDM).
- Experience with dbt, Kafka, Airflow, or DataOps.
- Databricks Certified Data Engineer or Data Architect certification is a plus
If you are interested please share your updated resume will connect and discuss further.
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