Software Engineering Lead

Bechtel - Glendale, AZ

Full-time - Senior

Remote - Glendale, AZ

Professional, Scientific, and Technical Services

About the position

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.

Responsibilities

• Design and implement robust, scalable, and efficient data architectures leveraging Azure Data Lake and Databricks.
• Define and enforce best practices for data ingestion, storage, processing, and retrieval.
• Optimize data workflows to ensure high performance and cost efficiency.
• 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.

Requirements

• 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.
• US citizenship is required for this position.
• 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.

Nice-to-haves

• 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.

Benefits

• Relocation authorized as a lump sum payment.
• Part-time telework option available.
• Robust benefits to ensure employee well-being and career advancement.