eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our team is encouraged to enjoy career fulfillment in the form of challenging engagements, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE.

Job Title: Manager, Datawarehouse

Purpose:

We are seeking a Data Engineering Manager to lead and grow our data engineering team, responsible for building and maintaining a scalable enterprise data warehouse (EDW) using Azure and Databricks. This role blends technical leadership with hands-on engineering, focusing on creating robust, high-performance data solutions that drive business insights.

Key Responsibilities:

• Lead, mentor, and develop a team of data engineers in building and maintaining our EDW.
• Design and implement scalable data architectures, pipelines, and ETL processes using Azure Data Factory, Azure Databricks, Data Lake, and related tools.
• Actively contribute to data engineering efforts, including coding and optimization of data workflows.
• Collaborate with project managers and stakeholders to align data initiatives with business objectives and timelines.
• Oversee the performance, configuration, and operations of Azure-based data services.
• Define and enforce standards for data quality, governance, and engineering best practices.
• Continuously improve data processes for scalability, efficiency, and cost-effectiveness.
• Work closely with data scientists, analysts, and business teams to gather requirements and deliver usable, accurate data.
• Maintain clear documentation and provide training to support users and team development.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering, with at least 2 years in a leadership role.
• Hands-on experience with Azure services: Data Factory, Databricks, and Data Lake.
• Proficiency in SQL, PySpark, Python, and/or Scala.
• Strong understanding of data warehousing, dimensional modeling, and ETL best practices.
• Excellent communication and stakeholder engagement skills.
• Proven leadership abilities in team development, problem-solving, and project delivery.
• Familiarity with agile methodologies, CI/CD pipelines, Azure DevOps, and Git.

Preferred Qualifications:

• Experience with project management tools like MS Project or SmartSheets.
• Background working with data in highly regulated industries is a plus.
• Let me know if you'd like this tailored for a specific industry or company tone.

Apply today and see how eNGINE can make a difference in your career!