Hiring: Data Architect Company: Alter Domus Location: New York, United States Job Posted Time: 2026-09-14 12:59:50 Target Skills & Keywords : Python, SQL, Vault About the job Experience: •8+ years in data architecture, data modelling, or master data management — ideally in financial services Required Skills: •Define the logical blueprint for a new commercial data platform — owning the data model, schema governance, taxonomy structures, lineage documentation, and master data strategy. You are the authority on what the data means and how it relates •Ensuring every entity, field, and relationship is defined with precision, governed through change control, and traceable from source to published output. You work closely with the Data Engineer (who builds the pipelines) and the Platform Engineer (who owns the physical infrastructure and delivery layer). •Data Lineage & Model Design: Design the end-to-end logical data model — from raw source through transformation layers to client-facing outputs. Document full data lineage so every published metric can be traced back to source fields with a complete audit trail •Schema & Taxonomy Governance: Own the canonical schema for all data products. Manage version control, schema evolution (new fields, deprecations, breaking changes), and ensure consistency across multiple product lines •Data Lineage & Traceability: Implement metadata management and lineage tracking so that every benchmark, index value, and client report can be audited from published output back to source record •Logical Integration Design: Define how multiple data sources (primary administration data, regulatory filings, client-uploaded portfolios) integrate logically — entity matching rules, conflict resolution, and hierarchy management •Governance Standards: Establish naming conventions, documentation standards, data dictionaries, and classification rules. Own the technical governance framework that supports broader data governance and anonymisation committees •Collaboration: Partner with the Quantitative Director (who defines analytical requirements), the Data Engineer (who implements the physical pipelines), and the Platform Engineer (who provisions infrastructure and delivery mechanisms) Qualifications: •Deep expertise in logical and physical data modelling — dimensional modelling, Data Vault, graph-based approaches •In-depth knowledge of master data management, entity resolution strategy, and taxonomy governance •Proficiency in SQL and at least one programming language (Python preferred) •Understanding of data governance frameworks, change control processes, and classification systems •Operational familiarity with anonymization and aggregation requirements — understanding how model design supports privacy constraints •Understanding of benchmark governance or regulated data environments •Prior experience at a data vendor, fund administrator, or financial infrastructure provider Compensation: •$87,500 - $145,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!