Data Analytics Engineer building trusted SQL data systems for Toptal, a global talent network. Owning transformation, governance, warehousing, and AI - enabled analytics foundations.
About the role
- Staff Analytics Engineer leading analytics architecture, dbt models, and semantic layers at Render. Building trusted data foundations for AI-assisted decision-making across the developer cloud platform.
Responsibilities
- Lead the evolution of Render’s Analytics Engineering platform
- Design, build, and maintain governed dbt models as authoritative sources for business-critical metrics
- Define and improve data modeling, testing, documentation, version control, CI/CD, and code review practices
- Review high-impact dbt changes and reduce technical debt across the analytics codebase
- Design and maintain semantic and context layers for consistent metrics, data discovery, and reliable analysis by people and AI tools
- Partner with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions
- Translate domain-specific business logic into scalable, maintainable warehouse models
- Partner with Data Engineering to improve source data quality, warehouse architecture, BigQuery performance, and cost efficiency
- Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices
- Set technical direction and shared standards for Analytics Engineering at Render
Requirements
- 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field
- At least 3 years of hands-on experience running dbt in production
- Expert-level SQL skills
- Track record of designing and owning scalable Kimball dimensional models
- Deep expertise in Git, testing, CI/CD, documentation, data contracts, lineage, and governance
- Experience building semantic and context layers, trusted metrics, and warehouse architectures for self-service analytics for humans and AI agents
- Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency
- Experience with BigQuery, Databricks, or Snowflake
- Track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt
- Ability to partner with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models
- Excellent communication skills and ability to explain complex technical concepts and tradeoffs to technical and non-technical audiences
- Experience building data models connecting product usage, acquisition, CRM, and financial data across the customer lifecycle
- Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code
- Applicants requiring visa sponsorship must receive business authorization; the position is generally not eligible for new visa sponsorship
- Nice-to-haves: experience with BigQuery, Segment, dbt, Metabase, or Mixpanel; developer-focused, product-led, sales-led, or usage-based businesses; cloud infrastructure, PaaS, developer tooling, or technically complex products
Benefits
- 4 weeks of paid vacation
- 14 weeks of fully paid parental leave for all parents
- Long-term disability insurance
- Life insurance
- 401K plans
- 100% employer-paid medical coverage
- 99% employer-paid dental and vision coverage for you and a dependent
- FSAs and HSAs
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy
- Commuter benefits for Renders in the Bay Area
- Home office stipends for remote Renders
- Continuous learning benefits and related support
- Equity offered
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