Associate Director, Data Engineering and Architect
Insmed Incorporated
August 20, 2026
Remote friendly (Bridgewater, NJ)
United States
IT
What You’ll Do
- Design and implement scalable, secure, cloud-native data platforms using AWS, GCP, and Snowflake.
- Lead data engineering (data pipelines framework, ETL workflows) using Qlik, Talend, Python, advanced SQL; implement serverless and containerization (Docker, Kubernetes).
- Lead AI capabilities (AI/ML workflows, ML Ops) for analytics and predictive modeling.
- Design and implement data governance (quality, integrity, lineage, compliance) using tools like Talend.
- Build monitoring/observability for reliability, data consistency, and reporting accuracy.
- Establish data modeling, metadata management, and data cataloging best practices; ensure biopharma compliance (HIPAA, GxP, GDPR, etc.).
- Optimize ingestion/transform/query performance; automate reconciliation with Python/JavaScript.
- Develop tech roadmaps aligned to R&D, clinical/commercial analytics, and regulatory needs.
- Translate business data needs into Snowflake solutions; drive innovation in integration and governance.
Who You Are (Qualifications)
- Bachelor’s degree (Science, Business, or Technology) + 10+ years in data architecture, cloud computing, and data engineering.
You Are/Have
- Expertise: Snowflake, Talend, Qlik, AWS, GCP; ETL, data lakes, warehousing, streaming.
- Required: biopharma/life sciences/healthcare experience with regulatory compliance knowledge.
- Proficient in SQL, Python, Spark, and cloud-native analytics; AI/ML integration and MLOps.
- Communication and problem-solving skills.
Nice to Have
- Veeva CRM/Salesforce Health Cloud; Qlik Sense.
Where/Work & Travel
- Hybrid (Bridgewater, NJ); remote option; in-person collaboration 2 days/week; minimal travel.
Pay Range
- $164,000.00–213,000.00 annual.
Application Instructions
- Current Insmed employees: apply via Jobs Hub in Workday.
- Design and implement scalable, secure, cloud-native data platforms using AWS, GCP, and Snowflake.
- Lead data engineering (data pipelines framework, ETL workflows) using Qlik, Talend, Python, advanced SQL; implement serverless and containerization (Docker, Kubernetes).
- Lead AI capabilities (AI/ML workflows, ML Ops) for analytics and predictive modeling.
- Design and implement data governance (quality, integrity, lineage, compliance) using tools like Talend.
- Build monitoring/observability for reliability, data consistency, and reporting accuracy.
- Establish data modeling, metadata management, and data cataloging best practices; ensure biopharma compliance (HIPAA, GxP, GDPR, etc.).
- Optimize ingestion/transform/query performance; automate reconciliation with Python/JavaScript.
- Develop tech roadmaps aligned to R&D, clinical/commercial analytics, and regulatory needs.
- Translate business data needs into Snowflake solutions; drive innovation in integration and governance.
Who You Are (Qualifications)
- Bachelor’s degree (Science, Business, or Technology) + 10+ years in data architecture, cloud computing, and data engineering.
You Are/Have
- Expertise: Snowflake, Talend, Qlik, AWS, GCP; ETL, data lakes, warehousing, streaming.
- Required: biopharma/life sciences/healthcare experience with regulatory compliance knowledge.
- Proficient in SQL, Python, Spark, and cloud-native analytics; AI/ML integration and MLOps.
- Communication and problem-solving skills.
Nice to Have
- Veeva CRM/Salesforce Health Cloud; Qlik Sense.
Where/Work & Travel
- Hybrid (Bridgewater, NJ); remote option; in-person collaboration 2 days/week; minimal travel.
Pay Range
- $164,000.00–213,000.00 annual.
Application Instructions
- Current Insmed employees: apply via Jobs Hub in Workday.