Head of Engineering, Data Platform
Tasks
- Build DBT models and manage deployments
- Build data platform architecture and roadmap
- Define data modeling standards
- Design AI native data platform for LLM pipelines
- Develop Snowflake pipelines and optimize performance
- Document governance processes and automate workflows
- Integrate source systems into data warehouse
- Lead and develop engineering team
- Make build-vs-buy decisions
- Own data platform strategy and execution
- Plan team composition and hiring sequence
- Provide feedback and create ownership opportunities
- Support agentic workflows and automation
- Translate business needs into data platform capabilities
Perks/Benefits
- 401k matching
- Cell phone stipend
- Dental insurance
- Employee stock purchase plan
- Flexible time off
- Internet stipend
- Learning programs
- Medical insurance
- Mental health resources
- Mentorship
- Monthly company holidays
- No meeting Fridays
- Office setup reimbursement
- Paid parental leave
- Professional development funding
- Remote-first culture
- Vision insurance
Skills/Tech-stack
Agentic Workflows | CI/CD | DBT | Data Governance | Data Modeling | Data Warehousing | Data pipeline | ELT | ETL | LLM | LLMOps | Python | SQL | Snowflake
Education
N/A
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