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.

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Lead Data Engineer

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