Lead Data Engineer
About The Position
Our client is a nationally recognized organization seeking a Lead Data Engineer to join a growing data and engineering team. This role will focus on building scalable data platforms, supporting analytics initiatives, and driving data engineering best practices within a modern Azure-based environment. This is a hands-on technical leadership opportunity focused on building and supporting modern data platforms. The role will be responsible for designing, developing, and maintaining production-grade data pipelines, data models, governance frameworks, and data services while helping establish engineering standards and best practices. The ideal candidate will bring strong Azure data engineering experience, technical leadership capabilities, and a passion for delivering reliable, scalable, and business-focused data solutions.
Requirements
- 7+ years of experience in Data Engineering, Analytics Engineering, or related data platform roles.
- Strong Python and SQL development skills.
- Experience building and supporting enterprise ETL/ELT pipelines.
- Strong understanding of data modeling and data warehousing concepts.
- Hands-on experience with modern Azure data technologies, including Databricks, Azure Data Factory, Synapse, ADLS, and Azure SQL or PostgreSQL.
- Experience with data quality, governance, lineage, and monitoring frameworks.
- Experience with Git, CI/CD pipelines, and modern software development practices.
- Ability to gather business requirements and translate them into technical solutions.
- Experience mentoring team members and contributing to technical leadership initiatives.
Nice To Haves
- Experience integrating enterprise business systems and operational data sources.
- Experience supporting analytics, reporting, or customer-focused applications.
- Experience with search technologies, APIs, or data services.
- Experience using AI-enabled tools to improve data engineering workflows.
- Experience with cloud-native data platforms and modern data architecture patterns.
Responsibilities
- Design, build, and maintain scalable data pipelines and data platforms.
- Develop and support data integration processes across multiple business systems and applications.
- Create and maintain data models that support operational reporting, analytics, and business intelligence needs.
- Implement data quality, monitoring, and observability practices to ensure reliable data delivery.
- Establish and maintain governance, lineage, and reconciliation processes.
- Support business reporting and analytics initiatives by delivering trusted and accessible data.
- Provide technical leadership through mentoring, design reviews, and engineering best practices.
- Collaborate with stakeholders across business and technology teams to deliver scalable solutions.
Benefits
- Medical, dental & vision
- Critical Illness, Accident, and Hospital
- 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
- Life Insurance (Voluntary Life & AD&D for the employee and dependents)
- Short and long-term disability
- Health Spending Account (HSA)
- Transportation benefits
- Employee Assistance Program
- Time Off/Leave (PTO, Vacation or Sick Leave)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
