Data Engineering Lead
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Job Description
Data Engineering Lead building and leading a scalable cloud data platform for simulation insights. Transforming high-volume simulation outputs into trusted datasets for analytics and AI workflows.
Responsibilities:
- Build and lead Battle Road’s data platform from the ground up.
- Architect our AWS-based data warehouse and ingestion pipelines
- Transform high-volume simulation outputs into clean, trusted datasets
- Establish schema standards and data contracts with engineering
- Enable scenario replay, comparison, and traceability
- Support analytics and AI workflows across the platform
- Hire and develop a high-performing data engineering team
- Within your first year, you will stand up a scalable warehouse, integrate core simulation feeds, and deliver reliable insight into product usage and simulation behavior.
- You will be modeling a dynamic world state, not just logs.
Requirements:
- 5+ years of professional experience as a Data Engineer or Data Platform Engineer.
- Deep experience building production-grade batch and streaming pipelines
- Proficiency in Python, SQL, and at least one data processing framework.
- Experience with cloud-based data infrastructure (AWS, GCP, or Azure).
- Experience designing schemas and modeling complex systems
- Experience leading or mentoring engineers
- Clear, concise written and verbal communication skills
- Ability to reason about data as a product, not a byproduct.
Benefits:
- Equity: Share in the company's success.
- Flexible Work Environment: Remote-first organization* with flexible work hours and unlimited PTO.***(*note that some roles are in-person, on-site with customers)*
- Comprehensive Health Coverage: Health, dental, vision, and life insurance.
- Retirement Plan: 401(k) plan with company match to secure your future.
- Parental Leave: 8 weeks at 100% regardless of state.
- Company Retreats: Annual company summit trips.
- Home Office Budget: $1,000 per year for home office improvements.
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