Director, Data Engineering (Databricks, DBT, AWS) at Travelers in Hartford, CT

Job description

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Technology Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $139,400.00 - $230,000.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineering Director you will accelerate growth and transformation of our analytics landscape. In this role, you will lead teams designing and building data solutions that capture, explore, transform and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. In addition to ingesting data from multiple sources and relaying information to relevant partners, you will also mentor and develop a team of data engineers. What Will You Do? Set technical direction for the data platform (Databricks, DBT, AWS), including medallion architecture standards (Raw → Stage → Domain → Data Product) Own the technical aspects of all projects led by Tech Leads, including architecture, design decisions, code quality, and technical delivery Provide technical mentoring and guidance to the Tech Leads. Manage, mentor, and develop EDPs and junior engineers, including one-on-ones, performance feedback, structured learning plans, code reviews, and career development Help place EDPs and junior engineers on project work that builds their skills, partnering with the Tech Leads on assignments and day-to-day direction Use Claude and other AI tools to accelerate source-to-target mapping for Domains and Data Products, speeding up design, documentation, and validation while keeping human review and engineering standards in place Partner with product, business, and architecture stakeholders to prioritize and sequence work across teams Drive engineering excellence: CI/CD, testing, data quality, and observability Oversee production support readiness and operational stability Collaborate with the hiring manager on resourcing across onshore employees and offshore contractors What Will Our Ideal Candidate Have? Bachelor’s Degree in Computer Science, Engineering, or Related Field/Equivalent Experience. Five or more years of data engineering experience. Hands-on expertise with Databricks, DBT, and AWS Proven experience managing and developing early-career engineers, including coaching, performance management, and structured skill development Proven experience providing technical leadership to multiple teams or Tech Leads without direct reporting authority, influencing through expertise and collaboration Strong communication skills and the ability to influence across technical and business audiences Additional Preferred Skills & Experience: Experience with Unity Catalog, Delta Lake, and Databricks governance Experience with orchestration and CI/CD tooling Insurance or financial services domain experience Experience managing blended onshore/offshore teams Hands-on experience applying generative AI tools, such as Claude, to accelerate data engineering work like mapping, documentation, and code development Experience with early career or rotational dev