Note: The job is a remote job and is open to candidates in USA. Thomson Reuters provides trusted content, technology, and insights to professionals and organizations across legal, tax, accounting, compliance, government, and media. The Lead Data Engineer will lead the architecture and delivery of complex data pipelines, reporting solutions, and dashboards while integrating AI and machine learning to produce actionable, predictive, and prescriptive insights. The role also partners with senior stakeholders, establishes data governance practices, mentors team members, and leads data projects through deployment.
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
Skills
- 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
- 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
Benefits
- Hybrid Work Model: a flexible hybrid working environment for office-based roles
- Flexible workplace policies to help manage personal and professional responsibilities
- Work from anywhere for up to 8 weeks per year
- Career development and growth through continuous learning, skill development, Grow My Way programming, and a skills-first approach
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
- Two paid volunteer days off annually
- Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives
- In the United States: health, dental, vision, disability, and life insurance programs
- In the United States: competitive 401k plan with company match
- In the United States: competitive vacation, sick and safe paid time off
- In the United States: paid holidays, including two company mental health days off
- In the United States: parental leave
- In the United States: sabbatical leave
- In the United States: optional hospital, accident and sickness insurance paid 100% by the employee
- In the United States: optional life and AD&D insurance paid 100% by the employee
- In the United States: Flexible Spending and Health Savings Accounts
- In the United States: fitness reimbursement
- In the United States: access to Employee Assistance Program
- In the United States: Group Legal Identity Theft Protection benefit paid 100% by employee
- In the United States: access to 529 Plan
- In the United States: commuter benefits
- In the United States: Adoption & Surrogacy Assistance
- In the United States: Tuition Reimbursement
- In the United States: access to Employee Stock Purchase Plan
- This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance
Company Overview
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