Lead Data Engineer

Thomson Reuters is a global provider of trusted content and technology for professionals across various sectors. They are seeking a highly skilled Lead Data Engineer to spearhead the development of innovative reporting solutions and integrate advanced AI capabilities to enhance data-driven decision-making for stakeholders.

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
• 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
• Have a proven ability to lead technical initiatives, operate with a high degree of autonomy, collaborate effectively in a team environment, and mentor junior colleagues
• Show advanced proficiency in programming languages such as Python or R for complex data analysis, automation, and statistical modeling
• Have expert-level skills in SQL, Snowflake, DBT, for complex data extraction, manipulation, transformation, and query optimization
• 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
• Master's degree is a strong plus