Data Architect Overview • The Data Architect will lead the design and implementation of the data model for the client’s innovative operations platform. • Collaborate with leadership to shape technology strategies and drive scalable solutions for fund administration. • Develop and maintain the data architecture, ensuring seamless integration with AI-driven workflows and client-facing applications. • Manage vendor deliverables, ensuring quality and alignment with project goals and timelines. • Work hands-on to design and implement data models, quality rules, and reconciliations using Snowflake and SQL. • Drive the adoption of modern data platforms and AI technologies to enhance operational efficiency. • Collaborate with operations and client service teams to translate business needs into technical solutions. • Ensure compliance with audit and governance standards, including SOC 1 requirements. Data Architect Key Responsibilities & Duties • Design and implement a canonical data model for fund administration, ensuring scalability and accuracy. • Develop SQL and dbt models, data quality rules, and reconciliations to maintain data integrity. • Manage master and reference data, ensuring a single source of truth for critical entities. • Integrate data from various platforms, ensuring comprehensive lineage and traceability. • Collaborate with technology partners to deliver high-quality solutions aligned with business objectives. • Define and implement controls for data access, audit trails, and AI governance. • Lead architecture discussions with leadership, translating business needs into technical designs. • Monitor and optimize platform costs, including cloud data usage and AI model expenditures. Data Architect Job Requirements • Bachelor of Science (BS) degree in a relevant field is required. • Minimum of 7 years of experience in data roles, with 12 years preferred. • Expertise in fund administration data, including general ledger, capital accounts, and investor records. • Hands-on experience with Snowflake, SQL, and Python for data engineering tasks. • Proven ability to design scalable data architectures and manage vendor deliverables. • Experience implementing controls for data governance and supporting audits. • Strong communication skills to explain technical concepts to non-technical stakeholders. • Preferred experience with fund accounting platforms and AI tools for document extraction.