Senior Data Engineer – Data Platform and Semantic Architecture and Engineering
Tasks
- Define enterprise standards for dimensional modeling and semantic layers
- Design and optimize scalable ELT ETL pipelines
- Develop governed semantic models with facts dimensions and metrics
- Enable trusted data foundations for agent based analytics and AI assistants
- Implement data governance security and compliance for semantic and agentic platforms
- Integrate semantic layers with BI tools for self service analytics
- Lead performance tuning for Snowflake tables views and materialized views
- Oversee data quality monitoring and automated validation frameworks
- Provide design authority for operational analytic pipeline and semantic architectures
Perks/Benefits
- 401k match
- Commute and parking benefits
- Employee Assistance Fund
- Health Savings Account contribution
- Health, dental and vision coverage
- Paid parental time off
- Paid time off
- Wellness programs
Skills/Tech-stack
AtScale | Business Objects | Business Objects Universes | DBT | Data Governance | Data Pipeline Performance Tuning | Data Quality | Data pipeline | Data pipeline performance | Data quality monitoring | Dimensional Modeling | Dimensional Modeling Design | ELT | ETL | LLM integration | Looker | Materialized views | Metadata Management | Microstrategy | Observability | Performance Tuning | Pipeline performance tuning | Power BI | Python | Quality monitoring | SQL | Semantic layer | Semantic views | Snowflake | Tableau
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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