Manager, Data Platform

The Data & Analytics (D&A) function within Thomson Reuters enables how the organization uses, manages, protects/governs, and increasingly applies data and AI to foster a data driven and AI powered culture across the enterprise, driving the evolution toward a world class Data & Analytics company. At Thomson Reuters, we are building a team of motivated Cloud and AI focused professionals to transform how we build, manage, and leverage our data assets. The Data Platform team in Bangalore is seeking an experienced Manager with a passion for engineering cloud based, AI enabled data platform systems. Join our dynamic team as a Manager and play a pivotal role in shaping the future of our Enterprise Data Platform. You will design and implement data and AI processing applications and frameworks on cloud based infrastructure, ensuring high standards of efficiency, scalability, reliability, and AI readiness across our platforms. About the Role : In this opportunity as the Manager, you will: Collaborate with architects to design data warehousing capabilities, including managing Snowflake data warehouses, configuring entitlements, and overseeing pipelines within AWS cloud infrastructure, along with implementing effective monitoring. Partner closely with the Data Platform Engineering Manager to deliver high-quality solutions. Mentor and lead team members in implementation of our advanced technology solutions for the data lake warehouse and surrounding functionality. Keeping teams accountable for high quality deliveries. Be a thought leader investigating leading edge technology for data lake warehouse software and systems functionality. Innovate Research, recommend and pilot tools and process changes in order to drive quality and efficiency across the solution development lifecycle to meeting data management requirements. Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytic groups. Provide Snowflake DBA and platform administration expertise to ensure platform stability, performance, and governance. Utilize your experience in the following areas: AWS Cloud Data practices and DevOps tooling Data Warehousing Modelling and Management Data Management and data warehousing processing capabilities Data Security, Privacy, and Compliance About You : Bachelor's degree in Computer Science, Engineering, or a related field with 12 years of relevant experience in data warehousing Design, Tuning, ETL/ELT development and Data management of data technologies for large scale organizations. Extensive hands‑on experience building and managing enterprise data platforms using Snowflake, AWS, dbt, Power BI, and AI capabilities. Strong Snowflake DBA and data platform administration experience, including account setup and governance, role-based access control (RBAC), performance tuning, cost optimization, warehouse management, data sharing, security (masking, row access policies), monitoring, and Disaster Recovery (replication/failover). Deep Experience with API/first architecture design and cloud infrastructure for large scale data warehouse & data lakes. Expertise in modern data movement, storage, management and security technology and tooling, including cloud native capabilities. Experience with modern engineering practices (DevOps, CICD) and their use, application to Data Architectures and solutions. Expertise in designing large-scale, complex applications with excellent run-time characteristics such as low-latency (API), fault-tolerance and consistent availability (Disaster Recovery) Experience in AWS services and management, including Serverless, Container, Queueing and Monitoring services like Lambda, ECS, API Gateway, RDS, Dynamo DB, Glue, S3, IAM, Step Functions, CloudWatch, SQS, SNS. Experience in Software development practices such as version control via Git, CI/CD and Release management Proficient in Python programming language. ... (truncated, view full listing at source)