What You Will Do

• Work directly with customers to discover, assess, and integrate their data assets into our platform
• Collaborate with customers, our support team, and other internal teams to define technical requirements and triage reported issues for each implementation
• Configure and deploy platform solutions tailored to each customer, connecting seamlessly with their existing systems
• Build and maintain automated ETL workflows, using tools like Snowflake and AWS Glue, to enable repeatable, high-quality data ingestion
• Troubleshoot issues across the data pipeline - from ingestion and transformation through orchestration and system configuration - leading resolution efforts
• Own the weekly data delivery cycle for assigned customers, proactively resolving issues to keep deliveries on time and error-free
• Identify recurring manual work in the implementation and delivery process - including manual trigger steps - and automate it to improve scalability
• Uphold data security and privacy protocols in line with industry standards
• 
  

What You Bring

• 3+ years of experience with data migration, ETL, and pipeline tools
• 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
• Experience with APIs and integration frameworks
• Familiarity with orchestration tools (e.g., Dagster, Airflow) and config-driven/declarative pipeline systems (e.g., dbt) is a strong asset
• 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 in the life sciences/pharma industry, including familiarity with tools like Veeva Vault or Salesforce, is a strong asset
• 
  

What You Will Do

• Work directly with customers to discover, assess, and integrate their data assets into our platform
• Collaborate with customers, our support team, and other internal teams to define technical requirements and triage reported issues for each implementation
• Configure and deploy platform solutions tailored to each customer, connecting seamlessly with their existing systems
• Build and maintain automated ETL workflows, using tools like Snowflake and AWS Glue, to enable repeatable, high-quality data ingestion
• Troubleshoot issues across the data pipeline - from ingestion and transformation through orchestration and system configuration - leading resolution efforts
• Own the weekly data delivery cycle for assigned customers, proactively resolving issues to keep deliveries on time and error-free
• Identify recurring manual work in the implementation and delivery process - including manual trigger steps - and automate it to improve scalability
• Uphold data security and privacy protocols in line with industry standards
• 
  

What You Bring

• 3+ years of experience with data migration, ETL, and pipeline tools
• 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
• Experience with APIs and integration frameworks
• Familiarity with orchestration tools (e.g., Dagster, Airflow) and config-driven/declarative pipeline systems (e.g., dbt) is a strong asset
• 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 in the life sciences/pharma industry, including familiarity with tools like Veeva Vault or Salesforce, is a strong asset
•