Lead Data Engineer

Responsibilities

• Defining enterprise-level data architecture and infrastructure strategies
• Designing advanced data warehouses, data lakes, and hybrid cloud architectures
• Driving adoption of automation, DevOps, and CI/CD best practices for data platforms
• Partnering with executive leadership to align data infrastructure with business strategy
• Guiding cloud resource planning, cost optimization, and capacity management

Requirements

• 7+ years of experience in data engineering, cloud data ecosystems, and infrastructure strategy
• Expertise with cloud-based data tools such as Azure Fabric, Data Factory, Synapse, or similar
• Proficiency in Python, SQL, ETL development, and data integration architecture
• Strong understanding of Azure security controls, resource management, and governance frameworks
• Bachelor’s Degree in Business, Computer Science, Finance, Information Systems, or related field

Compensation

Salary Range: $140,000-$150,000 depending on experience
Full Benefits Package: PTO, Paid Holidays, Medical, Dental, Vision, 401K, Tuition Reimbursement, Sick leave as required by law