Lead Data Engineer

Job Description: Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. About the Role: In this opportunity as a Lead Data Engineer, you will: We are looking for a highly motivated individual with strong organizational and technical skills for the position of Lead Data Engineer. You will lead the design and delivery of scalable reporting, advanced analytics, and AI/ML use cases across the organization. Architect and build analytics‑optimized data models in Snowflake , leveraging star schema and dimensional modeling to support enterprise semantic layers. Design, develop, and orchestrate robust data pipelines using Snowflake, Snowpipe, dbt, Python, and Apache Airflow to deliver trusted, analytics‑ready data. Integrate Snowflake with Microsoft Fabric (OneLake) to create a unified enterprise data layer that supports BI, self‑service analytics, and AI/ML workloads. Build and maintain enterprise semantic models in Fabric / Power BI , enabling consistent metrics, governed self‑service analytics, and sub‑second performance using Direct Lake and advanced DAX. Develop AI‑ready data backbones that support predictive analytics, machine learning, and LLM‑based use cases , with embedded data quality, observability, and lifecycle considerations. Partner with analytics, data science, and business teams to enable AI/ML consumption through semantic models , ensuring alignment between features, metrics, and business outcomes. Explore and analyze diverse datasets to assess data availability, shape analytical datasets, and support experimentation and AI‑driven insights. Design analytical frameworks and reusable datasets that accelerate insight generation and enterprise decision‑making. Provide technical leadership and drive initiatives end‑to‑end, from architecture and design through delivery and adoption. Communicate effectively with stakeholders across engineering, analytics, product, and executive audiences within a global organization. About You You're a fit for the Lead Data Engineer/ Data, if your background includes: Candidate should have minimum experience of 7 years of corporate experience in data engineering, enterprise analytics, or related technical roles. Strong hands‑on expertise in Snowflake (SnowSQL, Snowpipe), advanced SQL , and Python . Proven experience with Microsoft Fabric (Lakehouses, OneLake, Notebooks) and Power BI , including enterprise semantic modeling and advanced DAX . Deep experience designing dimensional and semantic data models that support enterprise reporting, analytics, and AI/ML use cases. Strong proficiency with dbt and Apache Airflow for building modular, CI/CD‑enabled, production‑grade data pipelines. Experience delivering end‑to‑end analytics data journeys , from operational source systems through transformation to data lakes and enterprise warehouses. Hands‑on experience or strong exposure to AI/ML platforms, predictive analytics, and generative AI use cases , including preparing data for LLM consumption. Ability to design and operate analytics platforms that scale across domains , enabling governed self‑service and advanced insights. Understanding of Data Strategy and Data Governance processes. Working knowledge of BI tools such as Power BI and Tableau. #LI-AD2 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work fro ... (truncated, view full listing at source)