Principal Software Engineer, Data Platform
Tasks
- Architect semantic layer consumption for agentic analytics
- Architect semantic layer consumption for data sharing
- Architect semantic layer consumption for reporting
- Build semantic layer self service onboarding
- Champion high quality code and test coverage
- Define semantic model standards for authoring and governance
- Design semantic model architecture
- Drive semantic layer technology strategy
- Enforce governance guardrails
- Evolve semantic modeling layer
- Implement developer friendly abstractions
- Lead design sessions and architecture decisions
- Mentor engineers and align stakeholders
- Optimize cost for semantic layer
- Own materialization and pre aggregation strategies
- Own query performance tuning
- Provide documentation and data validation
- Use AI coding tools for daily development workflow
Perks/Benefits
- 401k match
- Adoption reimbursement
- Comprehensive onboarding
- Fertility services support
- Financial planning tools
- Flexible time off
- Learning and development
- Legal advisory services
- Medical/Dental/Vision insurance
- Parental leave
- Pet insurance
- Telehealth
- Telehealth Memberships
Skills/Tech-stack
AI Assisted Development | API Design | Architecture | ClickHouse | DBT | Data Architecture | Data Engineering | Data Governance | Data Lakehouse | Data Validation | Design Patterns | Fault Tolerance | Kafka | Kinesis | LLM | Materialization | MetricFlow | Performance Tuning | Pre-aggregation | Python | Query Optimization | Reliability Engineering | SQL | Semantic Modeling | Snowflake | Spark
Education
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