The Team You’ll Work With

The Data Engineering team is responsible for designing and maintaining Carta's data and analytics infrastructure. Our scope is broad and includes building data pipelines, leading end-to-end projects spanning data modeling and visualization, and ensuring the smooth operation of our data infrastructure, which is used by hundreds of Carta employees across business units, R&D, and Data Science and Machine Learning teams. Read our team’s charter here.

The Data Engineering team is an integral part of the broader Data Pillar alongside Analytics Engineering, Data Science, Machine Learning, and the Carta Documents Service teams. We’re a unique and passionate group of data engineers, data scientists, machine learning engineers, and software engineers united by Carta’s mission to create more owners.

The Problems You’ll Solve

As a member of this team, you will be responsible for operating and up-leveling our data and analytics infrastructure. You will proactively identify and lead key infrastructure projects to improve stability, observability, and automation. You will also build critical data pipelines that pull in data from external and internal sources into our data warehouse, and share best practices on pipeline observability and developer experience. Some examples include:

• Building resilient data pipelines based on internal and external data sources.
• Leading infrastructure projects such as migrations, upgrades, and automation.
• Partnering with cross-functional data teams on larger data pillar initiatives.
• Proactively identifying and owning infrastructure improvement initiatives.
• Developing data and analytics infrastructure best practices with the team.

About You

You have 5 years of data engineering experience building complex data & analytics infrastructure that scales efficiently. You know what it takes to build end-to-end data pipelines, possess strong technical skills and enjoy working with various stakeholders across a fast-growing organization. You’re a strong communicator, embrace ambiguity, and get energized by building thoughtful solutions that move the needle on business goals. You’re not a bystander -- you’re an active participant and have strong opinions on how best-in-breed data and analytics infrastructure should be built. Some knowledge of and interest in financial technology or 3rd party integrations is great, but not required. Our data & analytics tech stack is Python, Airflow, dbt, Redshift, Looker hosted on AWS. Prior experience with these technologies is preferred.

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary commission if applicable) range for this role is: 

•  $204,000 - $240,000 in [San Francisco, CA] 
•  $204,000 - $240,000 in [Santa Clara, CA]
•  $183,600 - $216,000 in [Seattle, WA] 
•  $204,000 - $240,000 in [New York, NY]

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.