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 PurposeDesign 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 Timing12.30 to 9.30 IST (Bangalore) / 1:00-10:00 pm (Hyderabad)
Work ModeHybrid (3 days mandatory in office)
LocationBangalore, Hyderabad
Key Roles and ResponsibilitiesTypical 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. TechnologiesLeverage 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 ContributionAccomplished 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.
SupervisorNo
TCP Career Step DifferentiatorManaging very complex work related to data engineering and AI. Solving major business problems.
Education/ExperienceBachelors 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.
Weekly Hours40
Time TypeRegular
LocationIND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
Job IDR-73686
Date Posted07/10/2025
LocationsBengaluru, India