Lead Data Engineer

Summary

Join DoseSpot, a PE-backed start-up and leader in electronic prescribing software, as their Lead Data Engineer. You will design, implement, and manage the organization’s data architecture, working with cross-functional teams to ensure scalable, secure, and strategically aligned data systems. This hands-on role requires technical leadership and collaboration with global teams, including offshore engineering resources. You will oversee data warehouses, data lakes, and ETL/ELT pipelines using Azure technologies. The ideal candidate possesses deep expertise in data modeling, database design, cloud data platforms, and data governance. This position offers a remote work environment with flexible hours and a comprehensive benefits package.

Requirements

• 8+ years of experience in data engineering, including 3+ years in a technical leadership or architecture role
• Proven expertise in Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and Microsoft Fabric
• Strong background in data warehouse architecture, data modeling, and performance tuning
• Proficiency in SQL, Python, and/or Spark for data transformation and orchestration
• Experience with cloud-native architecture, DevOps practices, and CI/CD pipelines in Azure
• Excellent communication and leadership skills with the ability to influence technical direction and strategy

Responsibilities

• Design and lead the development of scalable, secure, and high-performance data solutions within the Azure ecosystem
• Define and enforce data engineering standards, best practices, and architectural patterns
• Evaluate and integrate emerging technologies to enhance the data platform’s capabilities
• Provide technical leadership and mentorship to a team of data engineers
• Act as a subject matter expert for internal stakeholders and clients, addressing technical inquiries and providing strategic guidance
• Collaborate with data science, analytics, and business teams to align data architecture with business objectives
• Oversee the design, development, and optimization of data warehouses, data lakes, and ETL/ELT pipelines using Azure Synapse, Data Factory, and Microsoft Fabric
• Select and implement appropriate data storage solutions (SQL, NoSQL, data lakes, cloud warehouses)
• Manage the development and maintenance of data models and schema designs to support efficient data storage and retrieval
• Optimize data processing workflows for performance, scalability, and reliability
• Implement and maintain robust data governance, security, and compliance frameworks
• Ensure data quality and integrity through effective validation, cleansing, and monitoring techniques

Benefits

• Remote work environment with a flexible work schedule to encourage work-life balance
• Annual company offsite
• Generous leave package including flexible time off policy that encourages team members to take time off to relax and recharge; plus 13 paid holidays, paid sick leave, and paid parental leave
• Medical, dental, and vision insurance for you and your family, plus a company funded FSA & HSA (dependent on which medical plan you choose)
• 401(k) company match
• One-time workspace reimbursement to help you optimize your remote workspace