We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the Head of Data, this is a high visibility role with the opportunity to work on greenfield projects.
If you’re a data engineer with a builder mindset, who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat!
What You Will Be Doing- Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane)
- Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
- Partner with our infrastructure engineering team to ensure high availability of all key data assets
- Build and scale our data governance policies
- Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels
- Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
- Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success.
- Experience deploying data governance frameworks with a scalable and repeatable process
- Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that
- 3+ years of relevant experience working in a data engineering role
- Startup experience
- A drive to continuously learn (and share those learnings) about the evolving data ecosystem
- Familiarity with dbt
- Advanced knowledge python knowledge
- Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
- Advanced knowledge of working with public clouds (e.g., AWS, GCP)
Additional Job details
The base salary range for this position is $140k - $180k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
About us:
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
Come join us!
Benefits For Our Full-Time Employees:- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
Sigma’s use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Skills Required
- 3+ years of relevant experience working in a data engineering role
- Strong knowledge and experience working with APIs and building data pipelines into Cloud Data Platforms (e.g., Snowflake, Databricks)
- Strong communication and collaboration skills
- Experience deploying data governance frameworks with a scalable and repeatable process
- Ability to thrive in ambiguous, fast-moving environments and deliver results
- Startup experience
- Familiarity with dbt
- Advanced Python knowledge
- Advanced knowledge and strong opinions around orchestrators (Astronomer, Airflow, Dagster)
- Advanced knowledge of working with public clouds (AWS, GCP)
What We Do
Sigma is not another Business Intelligence tool. Sigma is the only Cloud Analytics solution with a spreadsheet-like interface that enables anyone to explore data at cloud scale and speed. Discover what happened, why it happened, and what will happen.
