Principal Software Engineer, Data Platform
Tasks
- Architect semantic layer consumption for agentic analytics
- Architect semantic layer consumption for reporting
- Build self service metric onboarding
- Champion test coverage
- Create developer friendly abstractions
- Define semantic model standards
- Design materialization strategies
- Design semantic model architecture
- Drive stakeholder alignment
- Establish governance guardrails
- Evolve semantic modeling layer
- Implement data validation
- Implement pre aggregation patterns
- Lead architecture design reviews
- Maintain documentation
- Mentor engineers
- Optimize data cost
- Optimize query performance
- Own semantic layer technology strategy
- Test semantic models
- Use AI coding tools to accelerate development
- Version and govern semantic models
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | ClickHouse | DBT | Data Architecture | Data Catalogs | Data Governance | Data Modeling | Data Quality | Data Validation | Data Versioning | Data product | Data product design | Kafka | Kinesis | Materialization | MetricFlow | OLAP | Performance Tuning | Pre-aggregation | Product Design | Python | Query Optimization | SQL | Semantic Modeling | Snowflake | Spark
Education
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