- Lead Architecture Design: Spearhead the design and support for the Data Platform, catering to a diverse audience from data engineers to AI & BI users.
- 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.
- 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.
- Educational Background: Bachelor's degree in information technology.
- Experience: 8+ 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 Modeling: Proficient with concepts of data modeling and data development lifecycle.
- 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.
- Regulatory Awareness: Familiarity with data governance, data security, and privacy regulations.
- Containerization and Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Hybrid Work Model: Flexibility in a hybrid working environment.
- Wellbeing: Comprehensive benefit plans, flexible vacation, mental health days, and more.
- Culture: Globally recognized and award-winning reputation for equality, diversity, and inclusion.
- Learning & Development: Access to LinkedIn Learning and internal Talent Marketplace.
- Social Impact: Employee-driven Business Resource Groups, volunteer days, and ESG initiatives.
- Purpose Driven Work: Contribute to a company that helps pursue justice, truth, and transparency worldwide.
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Data Architect, Data Platform - Old Toronto, Canada - Refinitiv
Description
Data Architect, Data Platform page is loaded
Data Architect, Data Platform
Apply remote type Remote Job: Hybrid locations CAN-Toronto-19 Duncan Street time type Full time posted on Posted Today job requisition id JREQ175338Are 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.
About the Role
In this opportunity as a Data Architect, Data Platform, you will:
About You
You're a fit for the role of Data Architect, Data Platform if your background includes:
What's in it For You?
Join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:
#LI-LP2
Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we've been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world's most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. 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.
Accessibility
As a global business, we rely on diversity of culture and thought to deliver on our 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/Affirmative Action 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.
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More information about Thomson Reuters can be found on .
Thomson Reuters informs the way forward by delivering trusted content and technology that professionals and institutions need to make the right decisions. We are modernizing the pillars of society through the digitalization of the tax and legal professions, the free press, commerce, and the rule of law, and elevating the way professionals and institutions work.
Hear from one of our AI Experts, Shawn Malhotra, Thomson Reuters' Head of Engineering on the key components that go into innovating AI at Thomson Reuters.
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