Data Implementation Engineer

Join our team as a Data Implementation Engineer, where you will play a critical role in configuring and implementing our AI-driven platform to enable our customer's success. You will work closely with the Business Acceleration and Engineering teams throughout the customer lifecycle and be responsible for managing all data-related activities. The ideal candidate will have strong technical fluency, especially in data analysis, querying, and ETL.

Responsibilities

• Collaborate with customers to discover, assess, and integrate their data assets into the AI-driven platform.
• Configure and deploy platform solutions tailored to each customer, connecting seamlessly with their existing systems.

Requirements

• Build and maintain automated ETL workflows, using tools like Snowflake and AWS Glue, to enable repeatable, high-quality data ingestion.
• Excellent communication skills, able to translate between technical and non-technical stakeholders
• Strong problem-solving skills and a customer-centric mindset, comfortable owning ambiguous technical problems directly with customers
• Experience with APIs and integration frameworks
• 3+ years of hands-on experience with Snowflake and AWS (e.g., Glue, S3), or equivalent cloud data infrastructure

Strong proficiency in Python and SQL

• Familiarity with orchestration tools (e.g., Dagster, Airflow) and config-driven/declarative pipeline systems (e.g., dbt) is a strong asset
• 3+ years of experience with data migration, ETL, and pipeline tools

Preferred

• Experience in the life sciences/pharma industry, including familiarity with tools like Veeva Vault or Salesforce, is a strong asset