Senior Data Implementation Engineer

Join our team as a Senior Data Implementation Engineer, where you will own complex customer implementations from technical discovery to production go-live. You will work closely with Business Acceleration, Engineering, and Product to design scalable data solutions and ensure successful delivery for strategic customers. You will also mentor and support junior Data Implementation Engineers and drive continuous improvements to implementation standards, tooling, and processes. This is a remote-first position with flexible working hours and a focus on results.

Own complex customer implementations from technical discovery through production go-live, ensuring successful delivery for strategic customers.

Responsibilities

• Build automated ETL workflows to enable repeatable and high-quality data ingestion, and translate business requirements into scalable technical solutions.
• Serve as an escalation point for implementation challenges and production issues, mentoring and supporting junior Data Implementation Engineers.

Requirements

• This role is ideal for someone who is deeply hands-on, technically strong, and comfortable leading complex integrations while mentoring more junior engineers
• Strong problem-solving skills and a customer-centric mindset, comfortable owning ambiguous technical problems directly with customers
• Excellent communication skills, able to translate between technical and non-technical stakeholders

Experience with APIs and integration frameworks

• 6+ years of hands-on experience with Snowflake and AWS (e.g., Glue, S3), or equivalent cloud data infrastructure
• 6+ years of experience with data migration, ETL, and pipeline tools
• Strong proficiency in Python and SQL

Preferred

• Experience in the life sciences/pharma industry, including familiarity with tools like Veeva Vault or Salesforce, is a strong asset
• Familiarity with orchestration tools (e.g., Dagster, Airflow) and config-driven/declarative pipeline systems (e.g., dbt) is a strong asset