Global Technical Talent
Primary Job Title:
Software Engineering Lead
Alternate/Related Job Titles: Lead Azure Data Engineer Principal Data Architect - Azure Senior Cloud Data Engineer Data Engineering Manager Azure Platform Engineering Lead Location: Glendale, AZ
Onsite Flexibility: Part-Time Telework (minimum 3 days onsite/week)
Contract Details:
Position Type:
Contract Contract Duration:
12 months Start:
09/22/2025 End:
09/21/2026 Job Summary: We are seeking an accomplished
Software Engineering Lead
to guide our enterprise data engineering efforts, with a focus on
Azure Data Lake ,
Databricks , and secure cloud design. This leadership role requires deep technical expertise in the
Azure ecosystem ,
data architecture , and hands-on experience delivering secure, scalable solutions. U.S. Citizenship is required due to project constraints.
Key Responsibilities:
Architectural Design and Implementation:
Design robust data architectures using Azure Data Lake and
Databricks . Optimize workflows for performance, scalability, and cost-efficiency. Define and implement best practices for data ingestion, storage, and retrieval. Data Governance and Security:
Implement
Azure security protocols , including RBAC, encryption, and compliance controls. Conduct audits and vulnerability assessments with security teams. Enforce governance aligned with organizational and industry standards. Team Leadership and Collaboration:
Lead a team of data engineers; provide mentoring and direction. Align technical delivery with business strategy through Agile practices. Partner with analysts, scientists, and IT to deliver secure, high-impact solutions. Platform Optimization and Monitoring:
Manage Azure Data Lake/Databricks environments and monitor system health. Introduce new tools and optimize Azure services for data performance. Develop alerting systems and incident response for platform stability. Strategic Planning and Roadmap Development:
Create and execute a roadmap for long-term data engineering strategy. Advocate for lakehouse adoption and cloud cost optimization. Stay current with data engineering trends and innovations. Required Experience:
U.S. Citizenship -
required without exception Bachelor's or Master's in Computer Science, IT, or related field 8+ years in data engineering (3+ years in leadership roles) Extensive hands-on experience with
Azure Data Lake ,
Databricks , and other Azure services Proven success implementing enterprise-scale data solutions Required Skills:
Azure platform architecture & engineering Data lake design and optimization Databricks development and orchestration Azure RBAC, encryption, security best practices SQL and data modeling proficiency Preferred Skills:
Azure Data Engineer Associate / Azure Solutions Architect certification Experience with
data lakehouse architectures Familiarity with GDPR, HIPAA, CCPA, or other data governance frameworks DevOps practices for data environments CI/CD for data pipelines Additional Skills :
Agile delivery leadership Documentation of architectures and operational processes Collaboration with multidisciplinary teams Strategic planning and platform innovation Benefits:
Medical, Vision, and Dental Insurance Plans 401k Retirement Fund
About the Client: Trusted engineering, construction, and project management partner serving Energy, Infrastructure, Manufacturing & Technology, Mining & Metals, and Nuclear, Security & Environmental sectors. From planning to operations, we deliver impactful projects for industry and government, making a lasting difference globally.
About GTT: 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 are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation's largest life sciences, biotech, utility, and retail companies across the US and Canada. We look forward to helping you land your next great career opportunity!
Job Number: 25-25091 #LI-GTT #LI-Onsite
Alternate/Related Job Titles: Lead Azure Data Engineer Principal Data Architect - Azure Senior Cloud Data Engineer Data Engineering Manager Azure Platform Engineering Lead Location: Glendale, AZ
Onsite Flexibility: Part-Time Telework (minimum 3 days onsite/week)
Contract Details:
Position Type:
Contract Contract Duration:
12 months Start:
09/22/2025 End:
09/21/2026 Job Summary: We are seeking an accomplished
Software Engineering Lead
to guide our enterprise data engineering efforts, with a focus on
Azure Data Lake ,
Databricks , and secure cloud design. This leadership role requires deep technical expertise in the
Azure ecosystem ,
data architecture , and hands-on experience delivering secure, scalable solutions. U.S. Citizenship is required due to project constraints.
Key Responsibilities:
Architectural Design and Implementation:
Design robust data architectures using Azure Data Lake and
Databricks . Optimize workflows for performance, scalability, and cost-efficiency. Define and implement best practices for data ingestion, storage, and retrieval. Data Governance and Security:
Implement
Azure security protocols , including RBAC, encryption, and compliance controls. Conduct audits and vulnerability assessments with security teams. Enforce governance aligned with organizational and industry standards. Team Leadership and Collaboration:
Lead a team of data engineers; provide mentoring and direction. Align technical delivery with business strategy through Agile practices. Partner with analysts, scientists, and IT to deliver secure, high-impact solutions. Platform Optimization and Monitoring:
Manage Azure Data Lake/Databricks environments and monitor system health. Introduce new tools and optimize Azure services for data performance. Develop alerting systems and incident response for platform stability. Strategic Planning and Roadmap Development:
Create and execute a roadmap for long-term data engineering strategy. Advocate for lakehouse adoption and cloud cost optimization. Stay current with data engineering trends and innovations. Required Experience:
U.S. Citizenship -
required without exception Bachelor's or Master's in Computer Science, IT, or related field 8+ years in data engineering (3+ years in leadership roles) Extensive hands-on experience with
Azure Data Lake ,
Databricks , and other Azure services Proven success implementing enterprise-scale data solutions Required Skills:
Azure platform architecture & engineering Data lake design and optimization Databricks development and orchestration Azure RBAC, encryption, security best practices SQL and data modeling proficiency Preferred Skills:
Azure Data Engineer Associate / Azure Solutions Architect certification Experience with
data lakehouse architectures Familiarity with GDPR, HIPAA, CCPA, or other data governance frameworks DevOps practices for data environments CI/CD for data pipelines Additional Skills :
Agile delivery leadership Documentation of architectures and operational processes Collaboration with multidisciplinary teams Strategic planning and platform innovation Benefits:
Medical, Vision, and Dental Insurance Plans 401k Retirement Fund
About the Client: Trusted engineering, construction, and project management partner serving Energy, Infrastructure, Manufacturing & Technology, Mining & Metals, and Nuclear, Security & Environmental sectors. From planning to operations, we deliver impactful projects for industry and government, making a lasting difference globally.
About GTT: 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 are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation's largest life sciences, biotech, utility, and retail companies across the US and Canada. We look forward to helping you land your next great career opportunity!
Job Number: 25-25091 #LI-GTT #LI-Onsite