Software Engineering Lead
Listed on 2025-12-02
-
IT/Tech
Data Engineer, Cloud Computing
Join to apply for the Software Engineering Lead role at Bechtel Corporation
- Relocation Authorized:
National - Family - Telework Type:
Part-Time Telework - Work Location:
Glendale, AZ
Extraordinary Teams Building Inspiring Projects
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure;
Nuclear, Security & Environmental;
Energy;
Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job SummaryWe are seeking an experienced and highly skilled Software Engineering Lead to spearhead our data initiatives, with a primary focus on Azure Data Lake and its associated ecosystem. The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a solid understanding of security concepts within Azure, and a proven track record of leading teams in delivering scalable and secure data solutions.
This successful candidate selected for this position is required to report to the Glendale, Arizona office 3 days per week. Relocation is approved as a lump sum payment for this benefit.
- Data Governance and Security:
- Develop and implement security measures for Azure Data Lake, ensuring compliance with organizational and regulatory standards.
- Manage role-based access control (RBAC), encryption, and other security protocols within Azure Subscriptions.
- Collaborate with security teams to perform regular audits and vulnerability assessments.
- Lead and mentor a team of data engineers, providing technical guidance and fostering professional development.
- Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams, to deliver data-driven solutions.
- Drive agile practices and ensure timely delivery of projects.
- Oversee the deployment and management of Azure Data Lake and Databricks environments.
- Implement monitoring and alerting systems to ensure system reliability and performance.
- Evaluate and incorporate new Azure services and technologies to enhance the data platform.
- Develop and execute a roadmap for data engineering aligned with business objectives.
- Stay abreast of industry trends and advancements in data engineering and Azure technologies.
- Provide recommendations for long‑term data strategy, including data 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, with at least 3 years in a leadership role.
- Extensive hands‑on experience with Azure Data Lake, Databricks, and other Azure services.
- Proven expertise in architecting and implementing large‑scale data solutions.
- This role requires either a United States Citizenship or Permanent Residency (Green Card Holder) to be considered for employment.
- Technical
Skills:- Proficiency in SQL.
- Deep understanding of Azure security concepts, including subscription management, RBAC, and data encryption.
- Experience with data modeling, ETL pipelines, and big data technologies.
- Familiarity with CI/CD pipelines and Dev Ops practices in a data engineering context.
- Strong leadership and team management abilities.
- Excellent communication and stakeholder management skills.
- Analytical mindset with a proactive approach to…
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