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Senior level plus niche Snowflake/data-modeling needs produce medium competition.
Data engineering skills transfer across industries, but specialized modeling increases sensitivity.
Explicit 8+ years, 5+ years modelling, and mandatory tech stack make shortlisting highly strict.
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Design and implement scalable logical and physical data models aligned with business requirements using dimensional and canonical modeling techniques.
Build and maintain data ingestion layers (Bronze, Silver, Gold) following Medallion architecture, ensuring data quality, lineage, and governance.
Develop and optimize SQL-based schemas and robust ETL/ELT pipelines applying DataOps principles for CI/CD and testing in cloud environments.
8+ years of total experience in data engineering and architecture.
At least 5 years of hands-on experience in implementing data modeling techniques and best practices.
Strong skills in SQL, RDBMS, Dimensional Modeling (Kimball/Inmon), Data Warehousing, ETL/ELT, and Cloud Platforms (AWS).
Ability to work overlapping 4–5 hours with U.S. Central Time zone.
Experienced in implementing Medallion architecture for data ingestion and familiar with Snowflake data modeling.
Skilled in translating business requirements into data models and collaborating with stakeholders in distributed teams.
Knowledgeable in DataOps practices including pipeline orchestration, CI/CD, automated testing, and deployment of data workflows.