🛠 Tech Stack

💼 About This Role

You'll define and lead the enterprise data engineering strategy, modernizing legacy systems into a scalable Azure-based data ecosystem. You'll drive the transformation of data infrastructure to power analytics and decision-making across the organization. This high-impact role offers the opportunity to shape how data is structured and leveraged at enterprise scale.

🎯 What You'll Do

• Define enterprise data engineering strategy aligned with business objectives.
• Lead, mentor, and scale high-performing data engineering teams.
• Design enterprise data architecture including data lakes and warehouses.
• Drive modernization of legacy systems into Azure-based data ecosystem.
• Oversee development of ETL/ELT pipelines integrating multiple systems.

📋 Requirements

• 10+ years experience in data engineering or data architecture.
• Bachelor’s degree in Computer Science or related field.
• Hands-on experience with Azure Data Factory, Synapse Analytics, and Data Lake.
• Strong proficiency in SQL and Python.

✨ Nice to Have

• Experience in regulated environments such as healthcare or specialty pharmacy.
• Advanced degree preferred.
• Experience with lakehouse frameworks.

🎁 Benefits & Perks

• 💰 Competitive compensation aligned with senior leadership roles.
• 🏥 Comprehensive medical, dental, and vision insurance plans.
• 🏦 401(k) retirement plan with employer match.
• 🏖️ Paid time off and flexible leave policies.
• 📚 Education assistance and professional development programs.

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Executive Interview· 60 min