Staff Data Solutions Engineer

Overview We don’t simply hire employees. We invest in them. When you work at Chatham, we empower you — offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. The technology team at Chatham is responsible for building scalable, innovative fintech solutions that power global investment decisions. As a Senior Data Solutions Engineer within the Asset Platform division, you will report to the Asset Data Platform Manager and be part of a forward‑deployed engineering team delivering complex solutions on Chatham’s Asset Platform for one of its largest and most strategic clients—a global real estate investment manager. You will oversee the design and delivery of custom, end‑to‑end solutions that span multiple Data Platform layers, collaborating closely with Senior Engineers and Leads across Data Engineering, Data Integration, and Analytics to ensure strong data quality, effective governance, and long‑term customer success. In this engagement, you will be joined by a Data Engineer and a Data Analyst and, together, you will maximize the success of the client’s analytics initiatives on the Asset Platform. Responsibilities Act as Technical Lead for a client‑facing Data Analytics engagement, guiding solution design, delivery approach, and technical decision‑making. Lead discovery and data assessment activities, evaluating data availability, quality, and feasibility for new data management, analytics, or reporting initiatives. Design, model, and onboard priority datasets not yet available in the product's Data Platform, ensuring alignment with platform standards and client requirements. Oversee and contribute to the development of custom analytics solutions—including reports, dashboards, semantic models, views and/or queries—against the product’s Data Platform to facilitate advanced, idiosyncratic or novel data consumption alongside the Asset Platform’s standard analytics. Define and implement bespoke data quality rules and on‑demand data validation checks beyond the standard platform capabilities. Review solution designs and implementations to ensure scalability, reliability, maintainability, and alignment with long‑term platform strategy. Serve as a primary technical point of contact for the client, gathering feedback, managing expectations, and translating business needs into actionable technical enhancements. Represent Chatham’s best interests in client engagements by balancing customer requests with platform integrity, security, and sustainability. Mentor Data Engineers and Analysts by providing technical guidance, design feedback, and code reviews. Your Impact As a Senior Data Solutions Engineer, you will play a critical role in ensuring that data solutions built on the product's Data Platform are cohesive, scalable, and aligned with both technical and business objectives. By combining strong data engineering skills with solution‑level ownership and cross‑functional leadership, you will help bridge the gap between platform capabilities and real‑world product and client needs—driving consistency, quality, and impact across Chatham’s and client’s data ecosystem. Contributors to Your Success Strong proficiency in SQL querying and transformations. Strong experience using Python for backend development and/or data transformation. Proven track record of building or operating multi‑layered Enterprise Data Platforms delivering complex analytical use‑cases and integrating highly sparse and diverse datasets. Experience with designing software components for scalability, performance, and operational trade‑offs. Operationalising complex Data Platform infrastructure via Terraform (or similar). Hands‑on experience working with modern analytical data stores such as Snowflake or Databricks. Hands‑on experience building solutions on cloud platforms, preferably Azure, including storage, compute, and security concepts. Experience designing and operating CI/CD pipelines, preferably using GitHub and GitHub Actions. Working knowledge of microservices architectures, including experience with Docker and containerized deployments. Working knowledge of data governance and master data management fundamental concepts. Familiarity with version control best practices and collaborative development workflows. Strong ability to collaborate cross‑functionally and communicate technical concepts clearly to both technical and non‑technical stakeholders. Experience providing technical leadership through solution design, code reviews, and mentorship. Customer‑focused mindset with the ability to balance client satisfaction, technical quality, and long‑term platform sustainability while representing Chatham’s best interests. B.S. or M.S. in Statistics / Mathematics / Economics / Computer Science / Management Information Systems. #J-18808-Ljbffr CFC- Chatham Financial Corporation