Senior Data Governance Engineer

Who We Are

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Location and Flexibility

This role can be fully remote for candidates based in Brazil. If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.

The Opportunity

As a Data Governance Engineer part of our growing Data and Analytics team, you will be responsible for designing, implementing, and maintaining the frameworks, policies, and processes that ensure the quality, integrity, security, and compliance of our data assets. You will work closely with cross-functional teams, including Data Engineers, Data Scientists, Software Engineers, Legal, Compliance, and other technical and business stakeholders, to establish and enforce data governance standards and support data-driven decision-making while mitigating risks.

Responsibilities 

• Conduct detailed assessments of the customer’s data governance framework and current-state Collibra implementation
• Translate business needs into functional specifications for Collibra use cases
• Serve as a trusted advisor to the customer’s data governance leadership
• Lead requirement-gathering sessions and workshops with business users and technical teams
• Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making to strive for greater functionality in our data systems
• Collaborate with project managers and product owners to assist in prioritizing, estimating, and planning development tasks
• Provide constructive feedback and share expertise with fellow team members, fostering mutual growth and learning
• Demonstrate a commitment to accessibility and ensure that your work considers and positively impacts others

Qualifications

• BSc, MSc, and/or PhD in Statistics, Mathematics, Physics, CS, or another related subject
• Experience in technology-related fields, which can be industry and/or academic research (e.g., BI, Software, Data Science, Data Engineering)
• At least 3 years of experience in Data Governance, Metadata Management, Data Cataloging, or Data Engineering. 
• Have actively participated in the design, implementation, and management of data governance frameworks and data catalogs.
• Experience working with Colibra and a strong understanding of the Collibra Operating Model, workflows, domains, and policies.
• Experience working with APIs.
• Experience with a low-code/no-code ETL tool, such as Informatica
• Experience working with databases and data modeling projects, as well as practical experience utilizing SQL
• Effective English communication - able to explain technical and non-technical concepts to different audiences
• Experience with a general-purpose programming language such as Python or Scala
• Ability to work well in teams and interact effectively with others
• Ability to work independently and manage multiple tasks simultaneously while meeting deadlines

Bonus Points

• Cloud platforms and services, such as AWS, GCP, or Azure
• Containerization technologies such as Docker and Kubernetes
• An agile development environment and familiarity with Agile methodologies