Data Engineer Manager

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.KPMG is currently seeking a Data Engineer to join our Audit Technology Alliance organization.Responsibilities: * Take ownership of designing and implementing data pipelines focused on context engineering, transforming vast amounts ofstructured(e.g., transactional) and unstructured client data into high-quality inputs for our AI solutions * Set the standard for data engineering excellence,establishingand evangelizing best practices for processing and modeling diverse data sets to be analyzed by advanced generative AI agents * Serve as a key subject matter expert, collaborating closely with AI and solution architecture teams to define and deliver the specific data schemas and contextual payloads required by our AI orchestration frameworks * Support the development ofRetrieval-Augmented Generation (RAG)and context engineering pipelines from audit knowledge sources and the integration into AI agent workflows; design and implement the use of metadata across knowledge systems to drive the use of context * Champion data quality by developing and implementing rigorous validation frameworks to ensure the reliability of all data sources, which is critical for generating verifiable AI outputs * Drive the product forward by personally prototyping and evolving our data engineering strategies, pioneering innovative techniques to handle complex data relationships andkeepour context engineering capabilities state-of-the-art * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environmentQualifications: * Minimum fiveyears of recent professional experience in data engineering, with a proventrack recordof building data solutions that support AI-driven or advanced analytics systems * Bachelor's degree from an accredited college or university;master's degree from an accredited college or university in Computer Science, Engineering, Information Systems, or a related field is preferred * Deepexpertisein designing and building data pipelines that process both structured and unstructured data, preparing it for advanced AI consumption using cloud platforms like Databricks and Microsoft Fabric * Demonstrated experience in data preparation and structuring for Retrieval-Augmented Generation (RAG) systems, with hands-on knowledge of tools like Azure AI Search and a strong understanding of how data integrates into AI agent workflows * Strong, independent programming skills in Python andsignificant experiencewith microservice architecture, including building data APIs and interacting with asynchronous messaging systems * Proficiency with Agile methodologies and SDLC tools (Azure DevOps, Git, CI/CD) combined with excellent problem-solving skills to articulate complex data concepts and influence technical direction (200TEC)KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, compe