JOB SUMMARY

Lead Data Engineer
Boston MA/Remote (EST time zone)
Full-time ( no sponsorship available)
SaaS industry
The Alexander Technology Group is searching for a hands-on, technical leader to own the design, implementation, and management of a data architecture. As Lead Data Engineer, you’ll operate as a hands-on lead —both architecting scalable solutions and directly building them as well as leading a small team. This role requires someone deeply hands-on with data engineering and able to lead a high-performing team—mentoring engineers, driving standards, and ensuring delivery excellence. Please reach out to Chris McMillan at cmcmillan@alexandertg.com with an updated resume.

The Role:

• Design and lead scalable, secure, high-performance data solutions within the Azure ecosystem.
• Define and enforce data engineering standards, best practices, and architectural patterns.
• Evaluate and integrate emerging data technologies.
• Lead, mentor, and develop a team of data engineers while actively contributing to projects.
• Serve as a subject matter expert for internal stakeholders and clients.
• Partner with data science, analytics, and business teams to align architecture with business objectives.
• Build and optimize data warehouses, data lakes, and ETL/ELT pipelines using Azure Synapse, Data Factory, and Microsoft Fabric.
• Design efficient data storage solutions (SQL, NoSQL, cloud warehouses).
• Develop and maintain data models and schemas.
• Optimize workflows for scalability and performance.
• Implement robust data governance, security, and compliance frameworks.
• Ensure data quality through validation, cleansing, and monitoring.

Experience

• 8-10 years of data engineering experience, with 3+ years in a technical leadership.
• Data architecture experience is a must.
• Proven hands-on experience building pipelines, designing models, and coding in SQL, Python, and/or Spark.
• Demonstrated ability to lead, mentor, and manage a technical team.
• Expertise in Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and Microsoft Fabric or DataBricks or Snowflake.
• Strong background in data warehouse architecture, modeling, and performance tuning.
• Experience with cloud-native architecture, DevOps, and CI/CD pipelines in Azure.
• Excellent communication skills and the ability to influence strategy.

Please reach out to Chris McMillan at cmcmillan@alexandertg.com with an updated resume.

• Design and lead scalable, secure, high-performance data solutions within the Azure ecosystem.
• Define and enforce data engineering standards, best practices, and architectural patterns.
• Evaluate and integrate emerging data technologies.
• Lead, mentor, and develop a team of data engineers while actively contributing to projects.
• Serve as a subject matter expert for internal stakeholders and clients.
• Partner with data science, analytics, and business teams to align architecture with business objectives.
• Build and optimize data warehouses, data lakes, and ETL/ELT pipelines using Azure Synapse, Data Factory, and Microsoft Fabric.
• Design efficient data storage solutions (SQL, NoSQL, cloud warehouses).
• Develop and maintain data models and schemas.
• Optimize workflows for scalability and performance.
• Implement robust data governance, security, and compliance frameworks.
• Ensure data quality through validation, cleansing, and monitoring