Software Engineering Lead

Software Engineering Lead

Primary

Job Title:

Software Engineering Lead (Alternate/Related Job Titles: Azure Data Engineering Lead, Data Platform Engineering Manager, Lead Data Architect).

Location:

Glendale, AZ. Onsite Flexibility:
Hybrid / Onsite (based on project needs). Contract Details:
Position Type:
Contract, Contract Duration: 12 months, Start:
As Soon As Possible.

We are seeking an experienced and highly skilled Software Engineering Lead to spearhead data initiatives, with a primary focus on Azure Data Lake and related technologies. The ideal candidate brings deep architectural expertise in Azure Data Lake and Databricks
, strong security and governance knowledge, and a proven ability to lead technical teams delivering scalable, compliant, and high-performance data solutions.

• Design, implement, and optimize scalable data architectures leveraging Azure Data Lake and Databricks
  .
• Establish best practices for data ingestion, storage, processing, and retrieval.
• Ensure performance, reliability, and cost efficiency across cloud data environments.

• Develop and implement security controls within Azure, ensuring compliance with organizational and regulatory standards.
• Manage RBAC
  , encryption, and access protocols for Azure Subscriptions.
• Partner with cybersecurity teams for ongoing audits and vulnerability assessments.

• Lead, mentor, and develop a team of data engineers to drive high-quality project delivery.
• Collaborate with data scientists, business analysts, and IT teams to translate business requirements into actionable solutions.
• Foster agile practices and continuous improvement within the team.

• Oversee the deployment and operation of Azure Data Lake and Databricks environments.
• Establish monitoring, logging, and alerting systems to ensure optimal performance.
• Evaluate emerging Azure services and recommend innovative integrations.

• Define and execute a data engineering roadmap aligned with business goals.
• Stay current on industry trends and emerging technologies.
• Contribute to long-term data strategy
  , including lakehouse adoption and cloud optimization
  .

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 8+ years of experience in data engineering.
• 3+ years of leadership experience in managing engineering or data teams.
• Proven hands‑on expertise with Azure Data Lake, Databricks
  , and associated Azure services.
• Demonstrated success in designing and delivering large‑scale data architectures
  .

• Advanced SQL and data modeling proficiency.
• In‑depth knowledge of Azure security concepts
  , including subscription management, RBAC, and data encryption.
• Experience with ETL pipelines
  , CI/CD, and Dev Ops practices.
• Familiarity with big data technologies and performance tuning.

• Strong leadership and mentoring abilities.
• Excellent communication and stakeholder management.
• Analytical, strategic, and proactive approach to problem‑solving.

• Azure certifications (e.g.,
  Azure Data Engineer Associate
  , Azure Solutions Architect Expert
  ).
• Experience implementing data lakehouse architectures
  .
• Familiarity with data governance frameworks such as GDPR, CCPA, or HIPAA.

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

A trusted engineering, construction, and project management partner serving the Energy, Infrastructure, Manufacturing & Technology, Mining & Metals, and Nuclear, Security & Environmental sectors. From planning to operations, this organization delivers impactful projects that drive progress for industry and government worldwide.

GTT is a minority‑owned staffing firm and a subsidiary of Chenega Corporation, a Native American‑owned company in Alaska. As a Native American‑owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients include Fortune 500 companies across life sciences, biotech, finance, technology, and retail sectors throughout the U.S. and Canada. We look forward to helping you land your next great career opportunity!

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