Set the technical direction for the data engineering team
Own the strategy, maintenance, and operations of our data platform
Lead a team of data engineers while staying hands-on with architecture decisions and technical leadership
Maintain and build feature stores and ML infrastructure to power our machine learning models

Requirements

7+ years of professional experience in data engineering or software engineering, with 2+ years in a leadership or management role
Proven experience designing and operating data platforms at scale
Strong experience with Python and SQL
Deep expertise with cloud data warehouses like Snowflake, BigQuery, or Redshift
Experience building and maintaining feature stores and ML infrastructure
Knowledge of AWS technologies like DynamoDB, Lambda, SageMaker, and Kinesis
Experience with Infrastructure-as-Code tools like CloudFormation or Terraform
Experience with Airflow, DBT, and data orchestration best practices
Hands-on experience with streaming data pipelines (Kafka, Kinesis, or similar)
Track record of mentoring engineers and building high-performing teams
Strong communication skills with the ability to translate technical concepts for non-technical stakeholders

Benefits

Flexible Time Off
Comprehensive Health Insurance Plans, including HSA and FSA Options
401K Retirement Savings Plan with Generous Employer Match
Generous Parental Leave
Work-from-home stipend
Access to Corporate Discount Program
Pet Insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringsoftware engineeringPythonSQLcloud data warehousesfeature storesML infrastructureInfrastructure-as-Codestreaming data pipelinesdata orchestration

Soft Skills

leadershipmentoringcommunicationteam buildingtechnical leadership