Data Warehouse Manager

We are seeking a highly skilled Data Engineering Manager to lead a team responsible for designing, developing, and maintaining modern cloud-based data infrastructure and pipelines. This is a hands-on leadership role for someone who enjoys building scalable data platforms while guiding a team of engineers to deliver reliable, high-quality data solutions that support critical business decisions.

Employee testimonials:

• Great company to work for! Many opportunities to grow! Excellent management team!
• Opportunity to learn and become a better you.
• This company instills pride and passion into their workers. This company is consistently growing and allows you to grow with them.
• Co-workers are like family members, many opportunities for career growth, good work is acknowledged.

Title: Data Engineering Manager – DataBricks Azure

Location: Poughkeepsie, NY – Hybrid

Compensation: $135,000 – $165,000 Bonus

In this role, you will oversee the architecture, development, and optimization of Azure-based data environments—including data lakes, warehouses, and robust ETL/ELT pipelines. You’ll also play a key role in shaping the data strategy, implementing best practices, and ensuring the platform’s scalability, integrity, and performance.

This position offers the opportunity to lead a forward-looking data engineering team focused on building and evolving a modern cloud data ecosystem. You’ll be part of an environment that values innovation, collaboration, and technical excellence—where your expertise will directly influence how data is used across the organization.

If you’re an experienced Data Engineering leader who enjoys both strategy and hands-on development and wants to shape the future of a robust Azure-based data platform, we’d like to hear from you

Key Responsibilities

• Lead, mentor, and develop a team of data engineers, fostering technical growth and collaboration.
• Design and implement scalable, efficient data architectures on Azure Cloud, leveraging tools such as Databricks, Azure Data Factory, and related technologies.
• Oversee the build and maintenance of reliable ETL/ELT pipelines that ensure data is clean, secure, and accessible.
• Establish and enforce best practices around data quality, governance, and performance optimization.
• Collaborate with technology and business stakeholders to align data engineering initiatives with strategic goals.
• Manage project priorities, resourcing, and timelines to deliver high-quality solutions on schedule.
• Evaluate emerging technologies and tools to continuously enhance the data platform’s capabilities and efficiency.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum 10 years of progressive IT experience, including at least 7 years of hands-on data engineering.
• Minimum 4 years of technical leadership experience managing data engineering or data platform teams.
• Strong technical expertise with Azure data services and Databricks.
• Proven experience designing and implementing data lakes, data warehouses, and complex ETL/ELT pipelines.
• Proficiency in modern programming languages such as Python or Scala.
• Solid understanding of data governance, quality, and lifecycle management.
• Relevant certifications (Azure Data Engineer, Databricks Data Engineer Associate, ITIL, CITM) are preferred or can be obtained within the first year.