Requisition ID: 292592 Relocation Authorized: None Telework Type: Full-Time Office/Project Work Location: New Delhi 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. Bechtel's India offices support the execution of projects and services around the world. Working seamlessly with Bechtel's global business units, project sites, customers, and suppliers, our teams have delivered more than 125 projects since 1994. With offices in Gurgaon, Vadodara, and Chennai there are exciting career opportunities for candidates who are passionate about delivering projects that make a lasting, meaningful difference for people and communities around the world. Job Summary: 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. Major Responsibilities: Architectural Design and Implementation: 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. 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. Education and Experience 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. Required Knowledge and 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. 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 Total Rewards/Benefits: 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,