Lead Data/AI Engineering

Bangalore, Karnataka
Permanent
Full-time

1 month ago

Job Description:Job Description:About AT&T Chief Data OfficeThe 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, HyderabadKey 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: NoTCP 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: 40Time Type: RegularLocation: IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator BldgIt 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.

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