Senior Data Engineer

About ClickUp: ClickUp is building the future of work by engineering the world’s first truly converged, AI-native workspace that unifies tasks, documentation, real-time chat, calendars, and comprehensive enterprise search into a singular, cohesive productivity engine. Deployed by millions of active teams globally, we substitute scattered apps with an elegant, context-driven AI platform. As an AI-first company, our entire workforce leverages generative artificial intelligence daily to innovate rapidly and ship robust systems. ClickUp values grit, ambition, and a multiplier mindset, fostering an elite, low-bureaucracy tech space where builders are given extreme autonomy to tackle unique data engineering challenges and reinvent modern workspace collaboration rules.

Position Overview

We are seeking a highly autonomous, code-fluent, and development-oriented Senior Data Engineer (operating at a Staff level capacity) to own the technical architecture, platform vision, and core data infrastructure across our hyper-growth ecosystem under a permanent, full-time remote configuration open throughout the United States and Canada. Embedded within our high-leverage Growth vertical, you will serve as the principal systems architect responsible for setting the engineering bar, optimizing cloud compute layouts, and designing the frameworks other engineers use daily. Shifting completely away from routine non-regulated customer service queues, simple report generation, or basic website styling modifications, you will run an active petabyte-scale data warehouse, real-time streaming pipeline, and LLM feature-store orchestration laboratory. Partnering directly next to cross-functional data scientists, analytics engineers, and product directors, you will translate abstract operational objectives into highly reliable distributed services. This position requires an engineering veteran with 3+ years operating at a senior or staff level who handles cloud infrastructure fluidly natively using Data Scientist, SQL, and DevOps primitives, commands complete mastery of complex AWS serverless frameworks, and demonstrates a proven tracking history of mentoring and growing engineers.

Key Responsibilities

• Data Platform Architecture Governance: Define, own, and execute the long-term technical architecture and infrastructure map of ClickUp’s data platform, balancing scalability, data integrity, and system reliability natively utilizing Data Scientist primitives.
• High-Scale Pipeline Engineering: Build, profile, and scale resilient data pipelines across cloud-native layers, leveraging AWS serverless features (Lambda, Fargate, Step Functions, Kinesis, S3, DynamoDB, Aurora) alongside Snowflake and dbt frameworks.
• Analytical Warehouse Optimization: Write, audit, and tune complex relational queries and cluster parameters natively deploying SQL best practices to execute performance tuning and FinOps cloud cost management.
• AI/ML Infrastructure Customization: Design, calibrate, and maintain robust infrastructure for advanced AI/ML workloads—encompassing LLM integration frameworks, automated feature stores, embedding pipelines, training data arrays, and live model monitoring safety nets.
• Infrastructure as Code Control: Blueprint, scale, and provision secure cloud-native storage nodes and deployment graphs natively leveraging DevOps tools such as Terraform or AWS CDK.
• Engineering Practice Standardization: Establish and champion rigorous technical criteria across data pipelines, managing centralized guidelines for telemetry observability, automated testing arrays, CI/CD pipelines, Git workflows, and comprehensive technical documentation.
• Cross-Functional Technical Synthesis: Author scannable RFC documents and represent data engineering in company-level architecture discussions, translating complex technical trade-offs cleanly for non-technical stakeholders without direct authority.
• Multiplier Mentorship & Reviews: Provide advanced technical guidance through rigorous design reviews, mentor senior engineers, and systematically elevate the overall software quality of the distributed data organization.

Required Skills & Qualifications

• Possess significant, deep professional software engineering experience building, operating, and evolving high-concurrency production-scale data applications and large-scale distributed systems.
• A minimum of 3+ years of dedicated tracking history operating explicitly at a Senior or Staff engineering level within a product-led technical organization.
• Expert Cloud and Pipeline Command: Meticulous production experience managing advanced AWS cloud services, building reusable analytics layers natively in Python, and orchestrating modern ELT/ETL architectures at scale with dbt and Snowflake.
• Hands-on operational intimacy deploying automated production pipelines natively within workflow management tools like Airflow, Dagster, or Prefect, combined with deep familiarity handling event-driven architectures (Kinesis, Kafka, or equivalent).
• Outstanding written and verbal presentation communication strengths in English, with an established background leading cross-team technical initiatives across data science and analytics cells.
• Location Context: Position operates under 100% remote parameters open exclusively to qualified full-stack data platform engineering authorities residing permanently within the United States or Canada.

Preferred Strategic Indicators (Nice to Have)

• Prior platform or consulting history operating high-volume data platforms at a petabyte-scale warehouse level or managing telemetry handling millions of streaming events per second.
• Direct operational familiarity utilizing FinOps practices, data mesh topologies, or custom data product paradigms.
• Active technical community participation or open-source contributions to modern data tooling repositories.

What We Offer

• Top-Tier North American Tech Platform Remuneration Matrix: A highly competitive annual target cash base salary scale of $139,000 — $181,500 USD calibrated precisely to your individual geographic location, skills pedigree, and deployment velocity, supplemented by attractive corporate equity allocations.
• 100% remote workspace infrastructure freedom open across the US and Canada, saving your day-to-day schedule from rigid physical office commute traffic blockages.
• Macro Work Space AI Influence: Elite professional growth checkpoints achieved by single-handedly blueprinting the data structures, feature streams, and automated pipeline abstractions powering an AI converged work environment.
• Comprehensive physical well-being protection, including elite group health, dental, and vision insurance options, matching 401(k) choices, spending accounts, and corporate-paid short-term/long-term disability and life insurance.
• Access to enhanced employee assistance programs, an employee wellness stipend, generous professional development funding, comprehensive paid parental leave networks, and a highly flexible paid time off (PTO) policy to rest and recharge.