Data Management Lead
Role details
Job location
Tech stack
Job description
Our Philadelphiaarea client is seeking a Data Management Lead for a permanent role by way of contracttohire. This position is ideal for a senior data engineering leader who can guide teams, deliver complex solutions, and stay handson when needed.
The Data Management Lead will guide a team of data engineers while driving the delivery of scalable, highquality data solutions. This leader will oversee people management, ensure successful technical delivery, and remain handson with engineering work when needed. The role requires a proactive problem solver who can navigate challenges, mentor team members, and consistently deliver results in a fastpaced environment., Lead and mentor data engineering team members, ensuring strong performance and collaboration Oversee technical delivery across multiple initiatives, ensuring quality, timelines, and stakeholder alignment Drive solution design and problemsolving for complex data engineering challenges Contribute handson to data engineering work, including building pipelines and supporting cloudbased architectures Partner with crossfunctional teams to translate business needs into scalable data solutions
Requirements
10+ years of recent, handson Data Engineering experience Extensive hands-on experience with Databricks (ideally 5+ years) Extensive hands-on experience with Azure Cloud (ideally 5+ years) 4+ years in a Lead role, including managing people, delivering projects, resolving challenges, and driving teams to successful outcomes Very strong communication skills and problem solving skills Strong ability to identify solutions, navigate ambiguity, and maintain delivery momentum
Bonus Skills
Healthcare experience highly preferred, supporting enterprise environments or consulting engagements Key Responsibilities & Skills
- Data Engineering Team Leadership
- Hands-on Data Engineering
- Databricks Expertise
- Azure Cloud Expertise
- Scalable Data Pipeline Development
- Complex Data Solution Design
- Stakeholder Alignment & Communication
- Cross-functional Collaboration
- Problem Solving & Ambiguity Navigation
- 10+ Years Data Engineering Experience
- 4+ Years Lead Role Experience
Technical Skills
- Azure Cloud / Azure Data Factory / Azure Synapse
- Databricks / Spark
- SQL / Python (Preferred)
- ETL / ELT Tools
- Data Lake Architecture
- CI/CD for Data Pipelines
Education
Bachelor's Degree in Computer Science, Data Science, Information Systems, Engineering, Applied Mathematics. Preferred: Master's in Data Science, Master's in Computer Science, MBA, Master's in Business Analytics. Industry Experience
- Healthcare / Insurance
- Enterprise Data Platforms
- Cloud Services
- Data Consulting