Job Description:

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.

Weekly Hours:

40

Time Type:

Regular

Location:

IND: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 ID R-73686 Date posted 07/10/2025