Solution Architect, Data Platform

Are you ready to play a key role in transforming Thomson Reuters into a truly data-driven company Join our Data & Analytics (D&A) function and be part of the strategic ambition to build embed and mature a data-driven culture across the entire organization.

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

In this opportunity as aSolution Architect- Data Platformyou will:

Lead Architecture Design: Architect and Lead Data Platform Evolution: Spear head 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. Explicitly design and evolve the data platform to robustly support advanced analytics and Artificial Intelligence/Machine Learning (AI/ML) based services enabling the creation of innovative AI-driven applications.

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. Establish architectural standards and best practices for MLOps workflows including automated model training versioning A/B testing and continuous integration/deployment of AI models within the data platform infrastructure.
• 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 for transformations and ensuring efficient data processing and quality. This also involves developing reusable patterns and integrations of AI services into the data ecosystem.

Champion Data Ingestion Strategies:

• Design and oversee the implementation of robust scalable and automated cloud data ingestion pipelines from a variety of sources (e.g. APIs databases streaming feeds) into our AWS-based data platform utilizing services such as AWSGlue 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 (e.g. architecture performance tuning security data sharing Snowpipe Streams Tasks) and a broad range of AWS data services (e.g. 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.
• Demonstrating strong problem-solving and analytical skills. Align strategies with companygoals. Stakeholder Collaboration: Collaborate closely with external and internal stakeholders including business teams and product managers. Define roadmaps understand functionalrequirements and lead the team through the end-to-end development process.
• Work in a collaborative team-oriented environment sharinginformation diverse ideas and partnering with cross-functional and remote teams.
• Quality and Continuous Improvement: Focus on quality continuous improvement andtechnical standards. Keep service focus on reliability performance and scalability whileadhering to industry best practices.
• Technology Advancement: Continuously update yourself with next-generation technologyand development tools. Contribute to process development practices

About You

• Youre a fit for the role of Solution Architect Data Platform if your background includes:
• Educational Background: Bachelors degree in information technology.
• Experience: 16 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.Broad knowledge and experience with Cloud-native software design Microservices architecture Data Warehousing proficiency in Snowflake and a proven ability to design data architectures that specifically cater to the needs of Artificial Intelligence and Machine Learning (AI/ML) workloads including MLOps principles. Collaborate with data scientists and AI/ML practitioners to architect and integrate AI-powered services and solutions within the data platform enabling advanced analytics machine learning and intelligent automation capabilities for business stakeholders. Develop frameworks patterns and reusable components to support the operationalization and scaling of AI/ML models leveraging the organizations cloud data stack.
• Solid understanding of the end-to-end AI/ML lifecycle from data preparation and feature engineering to model training deployment and monitoring. Demonstrated ability to stay current with AI trends concepts and emerging technologies and apply them to enhance data platform capabilities and solutions.
• Cloud and Data Skills: Experience with building and automating end-to-end analyticspipelines 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 with a strong focus on supporting data readiness for AI/ML. This includes experience with various ingestion patterns (batch streaming CDC) and cloud-native AI/ML services.
• Data Modeling: Proficient with concepts of data modeling and data development lifecycle.
• Advanced Data Modeling: Demonstrable expertise in designing and implementing variousData models (e.g. relational dimensional Data Vault NoSQL schemas) for transactional analytical and operational workloads. Strong understanding of the data developmentlifecycle from requirements gathering to deployment and maintenance.
• Leadership: Proven ability to lead architectural discussions influence technical directionand 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 ordata manipulation automation and API development.
• Regulatory Awareness and Security Acumen: Data Governance and Security Acumen Deep understanding and practical experience in designing and implementing solutionscompliant with robust data governance principles data security best practices (e.g.encryption access controls masking) and relevant privacy regulations (e.g. GDPRCCPA).
• Containerization and Orchestration: Experience with containerization technologies likeDocker and orchestration tools like Kubernetes.

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Whats in it For You

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal tax accounting compliance government and media. Our products combine highly specialized software and insights to empower professionals with the data intelligence and solutions needed to make informed decisions and to help institutions in their pursuit of justice truth and transparency. Reuters part of Thomson Reuters is a world leading provider of trusted journalism and news.

We are powered by the talents of 26000 employees across more than 70 countries where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity accuracy fairness and transparency are under attack we consider it our duty to pursue them. Sound exciting Join us and help shape the industries that move society forward.

As a global business we rely on the unique backgrounds perspectives and experiences of all employees to deliver on our business goals. To ensure we can do that we seek talented qualified employees in all our operations around the world regardless of race color sex/gender including pregnancy gender identity and expression national origin religion sexual orientation disability age marital status citizen status veteran status or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

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