Data Architect

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.