Associate Director, Data Engineering and Architect

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.

• Bachelor’s degree (Science, Business, or Technology) + 10+ years in data architecture, cloud computing, and data engineering.

• 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.

• Veeva CRM/Salesforce Health Cloud;
  Qlik Sense.

• Hybrid (Bridgewater, NJ); remote option; in-person collaboration 2 days/week; minimal travel.

$– annual.