8 hours ago
Remote, United States +2 moreSenior / Staff+
Base Salary
$195k - $273k/yr
Responsibilities
- Own the architecture and technical direction of Render’s data platform and shape its roadmap.
- Build and operate reliable ingestion services, integrations, data pipelines, and ELT workflows.
- Own workflow execution, worker infrastructure, deployments, upgrades, and operational reliability for the orchestration platform.
- Improve BigQuery warehouse performance, cost efficiency, permissions tooling, governance, and architecture.
- Build APIs, event-driven ingestion, reusable cloud services, and infrastructure-as-code modules.
- Establish standards for version control, CI/CD, testing, documentation, logging, alerting, observability, and operations.
- Partner with analytics engineers, analysts, scientists, engineering, IT, security, and business stakeholders.
- Prepare model-ready datasets, expose features to downstream systems, and integrate AI and LLM workflows into production.
- Mentor data engineers through code review, pairing, design feedback, and coaching.
Requirements
- Demonstrated technical leadership as a tech lead or Staff-level engineer, including architecture ownership and delivery of complex data systems.
- Deep expertise with cloud data warehouses such as BigQuery, Databricks, or Snowflake, including modeling, query performance, cost management, and access control.
- Strong Python and SQL skills and hands-on experience building ingestion and ELT pipelines and maintainable data models.
- Experience operating Prefect, Airflow, Dagster, or similar orchestration platforms, including deployments, upgrades, workers, and reliability.
- Hands-on cloud infrastructure and infrastructure-as-code experience using Terraform or equivalent tools.
- Experience building cloud applications or backend services, APIs, ingestion services, and event-driven workflows.
- Strong production engineering practices involving testing, logging, alerting, observability, version control, and CI/CD.
- Experience mentoring engineers through coaching, code review, pairing, and design feedback.
- Strong communication, collaboration, and technical tradeoff leadership skills.
- Experience using AI-assisted development tools such as Codex, Cursor, or Claude Code.
- Preferred: experience with Render’s GCP, BigQuery, Segment, and dbt data stack.
- Preferred: experience with developer-focused, product-led, sales-led, or usage-based businesses and knowledge of cloud infrastructure, PaaS, developer tooling, or technically complex products.
Benefits
- Four weeks of paid vacation.
- Fourteen weeks of fully paid parental leave for all parents, with return-to-work support.
- Long-term disability, life insurance, and 401K plans.
- Employer-paid medical, dental, and vision coverage, with FSA and HSA options.
- Monthly lifestyle stipend for wellness, mental health, therapy, hobbies, and related expenses.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Bay Area employees and home office stipends for remote employees.
- Continuous learning benefits and support.
- Visa sponsorship is generally not available for new sponsorship; existing visa transfers may be sponsored at Render’s discretion with business authorization.
Tech Stack
Categories
Data Engineering
About Render
Render provides a developer-focused cloud platform to deploy and run full‑stack applications, including web services, static sites, Postgres, background workers, and cron jobs. It offers persistent compute with autoscaling, built‑in orchestration, and observability, sold as a usage‑based managed PaaS for startups and software teams. Founded in 2018 and headquartered in San Francisco, the company is privately held.