Staff Data Engineer

Навыки

• Airflow
• AWS
• CI/CD
• Code review
• Коммуникация
• Dagster / Prefect / Luigi
• dbt

О компании и продукте

• Own the technical architecture of ClickUp's data platform, making design decisions that balance scalability, cost, reliability, and velocity.
• Define and drive the technical roadmap for data infrastructure in partnership with leadership.
• Design systems at scale: build frameworks, abstractions, and patterns that other engineers use daily.
• Lead complex, cross-team technical initiatives spanning data engineering, analytics engineering, data science, and data analytics.

Требования

• Significant professional experience in data engineering or backend/infrastructure engineering, with at least 3 years operating at a senior or staff level
• Proven track record of owning architecture for data platforms or large-scale distributed systems
• Deep expertise in AWS cloud services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora) and infrastructure as code (Terraform and/or CDK)
• Expert-level SQL and Snowflake (or equivalent cloud data warehouse) knowledge, including performance tuning and cost optimization
• Strong experience with dbt and modern ELT/ETL patterns at scale
• Advanced Python skills with emphasis on building reusable libraries, frameworks, and tooling
• Hands-on experience with orchestration frameworks (Airflow, Dagster, or Prefect) in production environments
• Experience building data infrastructure for AI/ML: feature stores, training pipelines, embedding pipelines, model serving, or LLM integration
• Deep understanding of streaming and event-driven architectures (Kinesis, Kafka, or equivalent)
• Mastery of CI/CD, Git workflows, containerization (Docker), and deployment automation
• Strong communication skills: ability to write technical RFCs, influence without authority, and translate complex trade-offs for non-technical stakeholders
• Track record of mentoring and growing engineers, with a multiplier mindset
• Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process
• Join us and help redefine what's possible. 🚀
• We're looking for a Staff Data Engineer to own the architecture and technical vision of our data platform
• This is a high-leverage, high-autonomy role where you'll set the technical bar for the team, drive cross-functional alignment on data infrastructure strategy, and solve our hardest engineering problems
• You'll operate across AWS serverless technologies, Snowflake, dbt, and Terraform, but your impact goes well beyond any single tool: you'll shape how we think about reliability, scalability, cost, and developer experience at the platform level
• This role is for someone who doesn't just build great systems, but makes the engineers around them better

Будет плюсом

• Experience operating data platforms at high scale (petabyte-level warehouses, millions of events/sec)
• Familiarity with data mesh or data product paradigms
• Experience with FinOps practices and cloud cost management at scale
• Prior experience in a technical leadership role without direct reports (staff/principal IC track)
• Contributions to open-source data tools or technical communities

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