Bechtel-posted 21 days ago
Full-time • Mid Level
Hybrid • Glendale, AZ
5,001-10,000 employees
Professional, Scientific, and Technical Services

We 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.
  • Team Leadership and Collaboration:
  • 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.
  • Platform Optimization and Monitoring:
  • 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.
  • Strategic Planning and Roadmap Development:
  • 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 DevOps practices in a data engineering context.
  • Soft Skills:
  • Strong leadership and team management abilities.
  • Excellent communication and stakeholder management skills.
  • Analytical mindset with a proactive approach to problem-solving.
  • Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.
  • Experience with implementing data lakehouse architectures.
  • Familiarity with data governance frameworks like GDPR, CCPA, or HIPAA.
  • For decades, Bechtel has worked to inspire the next generation of employees and beyond!
  • Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive.
  • Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth.
  • Learn more at Bechtel Total Rewards
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