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Accountabilities:
- Design scalable conceptual, logical, and physical data models supporting OLTP, OLAP, real-time analytics, and ML workloads.
- Architect modular, domain-driven data structures for multi-domain analytics.
- Apply modern modeling techniques including 3NF, Dimensional Modeling, Data Vault, Medallion Architecture, and Data Mesh principles.
Requirements:
- 7-10+ years of experience as a Data Architect or Senior Data Engineer in enterprise-scale environments.
- Deep hands-on experience with Snowflake, Databricks, Azure Data Factory, AWS Glue, and others.
- Strong SQL and Python/Scala skills with expertise in schema design and metadata management.
Benefits:
- Comprehensive health, vision, and dental insurance.
- Employer-paid short- and long-term disability and life insurance.
- 401(k) with competitive company match.
Jobgether
Jobgether uses an AI-powered matching process to ensure candidate applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.