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Data Architect, Data Platform Leader
2 months ago
About the Role
In this opportunity as a Data Architect, Data Platform, you will:
- Lead Architecture Design: Spearhead the design and support for the Data Platform, catering to a diverse audience from data engineers to AI & BI users, ensuring seamless integration and scalability.
- Technical Standards and Best Practices: Research and recommend technical standards, ensuring the architecture aligns with overall technology and product strategy, and implement best practices for data modeling and development.
- Data-Driven Decision-Making: Make quick and effective data-driven decisions, demonstrating strong problem-solving and analytical skills, and align strategies with company goals and objectives.
- Stakeholder Collaboration: Collaborate closely with external and internal stakeholders, including business teams and product managers, to 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 to achieve common goals.
- Quality and Continuous Improvement: Focus on quality, continuous improvement, and technical standards, ensuring the Data Platform meets industry best practices and adheres to company standards.
- Technology Advancement: Continuously update yourself with next-generation technology and development tools, and contribute to process development practices to stay ahead of the curve.
About You
You're a fit for the role of Data Architect, Data Platform if your background includes:
- Education: Bachelor's degree in information technology or a related field.
- Experience: 8+ years of IT experience with at least 5 years in a lead design or architectural capacity, with a strong track record of delivering complex projects on time and within budget.
- Technical Expertise: Broad knowledge and experience with Cloud-native software design, Microservices architecture, Data Warehousing, and proficiency in Snowflake, with a strong understanding of data modeling and development lifecycle.
- Cloud and Data Skills: Experience with building and automating end-to-end analytics pipelines on AWS, familiarity with NoSQL databases, and a strong understanding of data governance and security.
- Leadership: Ability to lead and mentor junior members of the data engineering team, balancing technical decisions with user needs and business constraints.
- Programming Skills: Strong programming skills in languages such as Python or Java, with a strong understanding of software development principles and practices.
- Regulatory Awareness: Familiarity with data governance, data security, and privacy regulations, and a strong understanding of industry best practices.
- Containerization and Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes, with a strong understanding of DevOps practices.
What's in it For You?
At Thomson Reuters, we offer a dynamic and inclusive work environment that values diversity, equity, and inclusion. As a Data Architect, Data Platform, you will have the opportunity to work with a talented team of professionals, contribute to the development of cutting-edge technology, and make a meaningful impact on the company's success.
We are committed to providing a comprehensive benefits package, including flexible work arrangements, comprehensive health insurance, and opportunities for professional growth and development. Join us and be part of a team that is shaping the future of data and technology.
Accessibility
Thomson Reuters is an equal employment opportunity/affirmative action employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion.