Lead Data/AI Engineering

15 - 20 years

50 - 75 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About AT&T Chief Data Office
The Chief Data Office (CDO) at AT&T is responsible for leveraging data as a strategic asset to drive business value. The team focuses on data governance, data engineering, artificial intelligence, and advanced analytics to enhance customer experience, optimize operations, and enable innovation.
Overall Purpose: Design and deliver scalable, high-performance Data & AI solutions that transform complex data into actionable insights for strategic decision-making and business growth. Collaborate across teams, leveraging deep data warehousing expertise and staying aligned with industry trends.
Shift timing (if any): 12.30 to 9.30 IST(Bangalore)/1:00-10:00 pm (Hyderabad)
Work mode: Hybrid (3 days mandatory in office)
Location / Additional Location (if any): Bangalore, Hyderabad

Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:
Design, Development, Testing, and Deployment: Drive the development of scalable Data & AI warehouse applications by leveraging software engineering best practices such as automation, version control, and CI/CD. Implement comprehensive testing strategies to ensure reliability and optimal performance. Manage deployment processes end-to-end, effectively addressing configuration, environment, and security concerns.
  • Engineering and Analytics: Transform Data Warehouse and AI use case requirements into robust data models and efficient pipelines, ensuring data integrity by applying statistical quality controls and advanced AI methodologies.
    API & Microservice Development: Design and build secure, scalable APIs and microservices for seamless data integration across warehouse platforms, ensuring usability, strong security, and adherence to best practices.
    Platform Scalability & Optimization: Assess and select the most suitable technologies for cloud and on-premises data warehouse deployments, implementing strategies to ensure scalability, robust performance monitoring, and cost-effective operations.
  • Technologies: Leverage deep expertise in Data & AI technologies (such as Spark, Kafka, Databricks, and Snowflake), programming languages (including Java, Scala, Python, and SQL), API integration patterns (like HTTP/REST and GraphQL), and leading cloud platforms (Azure, AWS, GCP) to design and deliver robust data warehousing solutions.
    Job Contribution: Accomplished expert known for innovative problem-solving and deep domain knowledge. Leads high-impact projects with strategic independence, shapes executive decisions, mentors junior staff, and drives long-term organizational initiatives through close collaboration with senior leadership.
  • Supervisor: No
    TCP Career Step Differentiator: Managing very complex work related to data engineering and AI. Solving major business problems.
    Education/Experience: Bachelor s degree in Computer Science or related field preferred, with 15+ years of relevant experience and demonstrated leadership in complex projects. Certifications in key technologies required; automation, GitHub Copilot, AI/ML, and advanced credentials in data engineering, cloud, or project management are highly desirable. Strong mentoring, cross-functional collaboration, and stakeholder communication skills essential.
Location:
IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg
Job ID R-73686 Date posted 07/10/2025

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