Lead Data Engineer

About the role

In this opportunity as a Lead Data Engineer, you will:

• Lead the architecture, development, design, and maintenance of complex, interactive, and dynamic data pipelines, frameworks and dashboards using DBT, SQL, Python, Claude.AI, Power BI, Tableau, Excel, and PowerPoint.
• Partner strategically with senior stakeholders to define complex reporting needs, deliver high-impact actionable insights, and drive data-informed strategies.
• Champion and implement advanced AI and machine learning techniques to innovate reporting solutions and provide predictive and prescriptive insights.
• Conduct in-depth analysis of large, complex datasets to uncover critical trends, patterns, and anomalies that directly inform strategic business decisions.
• Establish and enforce best practices for data integrity, accuracy, and governance across all reporting solutions, and mentor team members on these standards.
• Provide expert guidance, mentorship, and training to team members and stakeholders on advanced reporting tools, analytical methodologies, and emerging AI technologies.
• Drive continuous improvement initiatives for reporting processes and tools, proactively research and implement cutting-edge industry trends and technologies, and contribute to the team's technical roadmap.
• Articulate complex findings and strategic recommendations to executive-level stakeholders through compelling presentations and comprehensive reports.
• Lead data projects from conception through deployment, ensuring alignment with business objectives and technical excellence.
• Act as a subject matter expert and technical escalation point for data analysis and reporting within the team.

Responsibilities

Lead the architecture, development, design, and maintenance of complex, interactive, and dynamic data pipelines, frameworks and dashboards using DBT, SQL, Python, Claude.AI, Power BI, Tableau, Excel, and PowerPoint.

Partner strategically with senior stakeholders to define complex reporting needs, deliver high-impact actionable insights, and drive data-informed strategies.

Champion and implement advanced AI and machine learning techniques to innovate reporting solutions and provide predictive and prescriptive insights.

Conduct in-depth analysis of large, complex datasets to uncover critical trends, patterns, and anomalies that directly inform strategic business decisions.

Establish and enforce best practices for data integrity, accuracy, and governance across all reporting solutions, and mentor team members on these standards.

Provide expert guidance, mentorship, and training to team members and stakeholders on advanced reporting tools, analytical methodologies, and emerging AI technologies.

Drive continuous improvement initiatives for reporting processes and tools, proactively research and implement cutting-edge industry trends and technologies, and contribute to the team's technical roadmap.

Articulate complex findings and strategic recommendations to executive-level stakeholders through compelling presentations and comprehensive reports.

Lead data projects from conception through deployment, ensuring alignment with business objectives and technical excellence.

Act as a subject matter expert and technical escalation point for data analysis and reporting within the team.

Requirements

Possess a Bachelor’s degree in Engineering, Data Science, Computer Science, Statistics, Business Analytics, or a related field; a Master’s degree is a strong plus.

Have 8+ years of progressive experience in data engineering or a similar role, with a proven track record of leading complex reporting and dashboard projects and delivering impactful business intelligence solutions.

Demonstrate expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python (for data analysis and scripting), Excel (including advanced functions and modeling), and PowerPoint.

Have extensive, hands-on experience designing, implementing, and operationalizing AI solutions and machine learning algorithms to solve challenging business problems.

Exhibit exceptional data analytical, critical thinking, and problem-solving skills, with a demonstrated ability to interpret complex data and translate it into strategic business insights.

Possess outstanding communication, presentation, and influencing skills, with the ability to convey complex technical concepts clearly and persuasively to diverse audiences, including senior leadership.

Show advanced proficiency in programming languages such as Python or R for complex data analysis, automation, and statistical modeling.

Possess a deep understanding and practical experience with data warehousing concepts, ETL processes, data governance principles, and emerging AI technologies like Claude.AI, Copilot, Large Language Models (LLMs).

Demonstrate a strategic mindset with the ability to connect data insights to broader business strategy and outcomes.

Qualifications

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 wellbeing.

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.

Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.

For any eligible US locations, unless otherwise noted, the base compensation range for this role is $110,000 USD - $204,200 USD. For Ontario, Canada, the base compensation range for this role is $118,200 CAD - $168,200 CAD.

This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.