Senior Data Engineer

Join ClickUp as a Senior Data Engineer, where you'll own the architecture and technical vision of our data platform. This high-leverage, high-autonomy role will have a significant impact on our data infrastructure strategy and engineering problems. You'll work with AWS serverless technologies, Snowflake, dbt, and Terraform, shaping our approach to reliability, scalability, cost, and developer experience.

• 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, and lead complex, cross-team technical initiatives.
• Establish and champion engineering standards: observability, testing, CI/CD, code review, and documentation practices.
• This role is for someone who doesn't just build great systems, but makes the engineers around them better
• Deep expertise in AWS cloud services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora) and infrastructure as code (Terraform and/or CDK)
• Strong communication skills: ability to write technical RFCs, influence without authority, and translate complex trade-offs for non-technical stakeholders
• Experience building data infrastructure for AI/ML: feature stores, training pipelines, embedding pipelines, model serving, or LLM integration
• Hands-on experience with orchestration frameworks (Airflow, Dagster, or Prefect) in production environments
• Deep understanding of streaming and event-driven architectures (Kinesis, Kafka, or equivalent)
• Proven track record of owning architecture for data platforms or large-scale distributed systems
• Significant professional experience in data engineering or backend/infrastructure engineering, with at least 3 years operating at a senior or staff level
• Expert-level SQL and Snowflake (or equivalent cloud data warehouse) knowledge, including performance tuning and cost optimization
• Track record of mentoring and growing engineers, with a multiplier mindset
• Mastery of CI/CD, Git workflows, containerization (Docker), and deployment automation
• Advanced Python skills with emphasis on building reusable libraries, frameworks, and tooling
• Strong experience with dbt and modern ELT/ETL patterns at scale
• Familiarity with data mesh or data product paradigms
• Contributions to open-source data tools or technical communities
• Prior experience in a technical leadership role without direct reports (staff/principal IC track)
• Experience with FinOps practices and cloud cost management at scale
• Experience operating data platforms at high scale (petabyte-level warehouses, millions of events/sec)
• Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people work. If you think ClickUp is the company for you, we encourage you to apply!