Director of Data Engineering

Solvd US  Our organization is redefining claims management across the auto and property space through a blend of AI innovation, proprietary technology, and expert-led services that deliver measurable results for insurers, fleets, rental, TPAs/MGAs, and adjacent industries. Our US team combines automation, intelligence, and human expertise to simplify complex processes — accelerating cycle times, reducing costs, and improving outcomes across appraisal, repair, subrogation response, and auto/property estimating. Our solutions help customers move beyond digital claims to a model that’s faster, smarter, and simpler — grounded in data accuracy, transparency, and customer experience.   As part of the Solvd Group, operating in 46+ countries, our mission is to drive results today while shaping the future of claims. From FNOL to final settlement, we connect technology and expertise to deliver precision, performance, and confidence at every stage.   Director of Data Engineering  We are seeking an experienced Director of Data Engineering responsible for the technical leadership, architecture, and delivery of the company’s data platform. This role oversees the ingestion, storage, transformation, and availability of data for analytics and reporting. The Director will manage a small team of data analysts and engineers and will work closely with an external implementation partner during the initial build-out of the data lake and data warehouse. The role requires strong experience with AWS-based data architectures, infrastructure automation, and modern analytics platforms, as well as the ability to integrate with external data platforms and transition systems from vendor-led implementation to internal ownership. What you’ll do:  Define and maintain the architecture for the company’s data lake and data warehouse  Own the technical direction and standards for data ingestion, transformation, and storage  Ensure data quality, reliability, security, and governance across the data platform  Manage, mentor, and develop a team of data analysts and data engineers  Set technical expectations, development standards, and operational practices  Review designs, implementations, and analytics deliverables  Work with an external partner to design and implement the initial data infrastructure  Oversee knowledge transfer and transition to internal ownership  Collaborate with application engineering, DevOps, and business teams to align data solutions with organizational needs  Design and manage data pipelines that ingest data from multiple internal and external data sources in various formats  Integrate and consume data from external platforms, including Databricks-based systems  Support analytics and reporting use cases through curated datasets and data models  Enable self-service analytics and reporting using Amazon QuickSight  Build and operate data infrastructure on AWS, including S3, Glue, Athena, and Redshift or PostgreSQL  Implement and maintain infrastructure as code using AWS CloudFormation  Ensure deployments, monitoring, and operational processes are automated and repeatable  Support AI and machine learning initiatives through data preparation and feature engineering  Evaluate future technologies and platforms, including Databricks, as potential components of the data ecosystem    What we're looking for:  Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience  8+ years of relevant professional experience  3+ years of people leadership experience  Strong experience in data engineering and data warehousing architecture  Experience ingesting, transforming, and modeling data from multiple data sources and formats  Hands-on experience with AWS data services (S3, Glue, Athena)  Experience with data warehouses such as Amazon Redshift and/or PostgreSQL  Experience implementing infrastructure as code using AWS CloudFormation  Proficiency in SQL  Experience leading technical teams  Experience integrating with external data platforms or vendor-managed data systems (e.g., Databricks)  Python for data processing, automation, or analytics  Familiarity with .NET-based application environments  Knowledge of AI/ML concepts and model development workflows  Experience with CI/CD pipelines and cloud security best practices  What we offer:  A competitive salary  Comprehensive benefits, including health, dental, and vision insurance.  401(k) plan options  Paid time off, sick time, and paid holidays.  A fully remote work environment with flexibility and autonomy.  The opportunity to grow with a dynamic, innovative team in a startup-like culture.