Job
Description
The Data Architecture organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the Role Lead Architecture Design: Architect and Lead Data Platform Evolution: Spearhead the conceptual, logical, and physical architecture design for our enterprise Data Platform (encompassing areas like our data lake, data warehouse, streaming services, and master data management systems). You will define and enforce data modeling standards, data flow patterns, and integration strategies to serve a diverse audience from data engineers to AI/ML practitioners and BI analysts. Technical Standards and Best Practices: Research and recommend technical standards, ensuring the architecture aligns with overall technology and product strategy. Be hands-on in implementing core components reusable across applications. Hands-on Prototyping and Framework Development: While a strategic role, maintain a hands-on approach by designing and implementing proof-of-concepts and core reusable components/frameworks for the data platform. This includes developing best practices and templates for data pipelines, particularly leveraging dbt for transformations, and ensuring efficient data processing and quality. Champion Data Ingestion Strategies: Design and oversee the implementation of robust, scalable, and automated cloud data ingestion pipelines from a variety of sources (eg, APIs, databases, streaming feeds) into our AWS-based data platform, utilizing services such as AWS Glue, Kinesis, Lambda, S3, and potentially third-party ETL/ELT tools. Design and optimize solutions utilizing our core cloud data stack, including deep expertise in Snowflake (eg, architecture, performance tuning, security, data sharing, Snowpipe, Streams, Tasks) and a broad range of AWS data services (eg, S3, Glue, EMR, Kinesis, Lambda, Redshift, DynamoDB, Athena, Step Functions, MWAA/Managed Airflow) to build and automate end-to-end analytics and data science workflows. Data-Driven Decision-Making: Make quick and effective data-driven decisions, demonstrating strong problem-solving and analytical skills. Align strategies with company goals. Stakeholder Collaboration: Collaborate closely with external and internal stakeholders, including business teams and product managers. Define roadmaps, understand functional requirements, and lead the team through the end-to-end development process. Team Collaboration: Work in a collaborative team-oriented environment, sharing information, diverse ideas, and partnering with cross-functional and remote teams. Quality and Continuous Improvement: Focus on quality, continuous improvement, and technical standards. Keep service focus on reliability, performance, and scalability while adhering to industry best practices. Technology Advancement: Continuously update yourself with next-generation technology and development tools. Contribute to process development practices. About You Educational Background: Bachelors degree in information technology. Experience: 10 + years of IT experience with at least 5 years in a lead design or architectural capacity. Technical Expertise: Broad knowledge and experience with Cloud-native software design, Microservices architecture, Data Warehousing, and proficiency in Snowflake. Cloud and Data Skills: Experience with building and automating end-to-end analytics pipelines on AWS, familiarity with NoSQL databases. Data Pipeline and Ingestion Mastery: Extensive experience in designing, building, and automating robust and scalable cloud data ingestion frameworks and end-to-end data pipelines on AWS. This includes experience with various ingestion patterns (batch, streaming, CDC) and tools. Data Modeling: Proficient with concepts of data modeling and data development lifecycle. Advanced Data Modeling: Demonstrable expertise in designing and implementing various data models (eg, relational, dimensional, Data Vault, NoSQL schemas) for transactional, analytical, and operational workloads. Strong understanding of the data development lifecycle, from requirements gathering to deployment and maintenance. Leadership: Proven ability to lead architectural discussions, influence technical direction, and mentor data engineers, effectively balancing complex technical decisions with user needs and overarching business constraints Programming Skills: Strong programming skills in languages such as Python or Java or data manipulation, automation, and API development. Regulatory Awareness and Security Acumen: Data Governance and Security Acumen: Deep understanding and practical experience in designing and implementing solutions compliant with robust data governance principles, data security best practices (eg, encryption, access controls, masking), and relevant privacy regulations (eg, GDPR, CCPA). Containerization and Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes. 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 from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial we'llbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
