Data Flow & Architecture Documentation Analyst

Job role : Data Flow & Architecture documentation analyst Location: Phoenix, AZ Job Type: Contract Skills: • Our current requirement is for a Documentation Analyst focused on: • Translating conceptual design discussions about data architecture into clear, comprehensive diagrams. • Possessing expert-level PowerPoint skills to produce high-quality executive presentations. • We’re ideally seeking someone with a strong attention to detail and visual storytelling capabilities, rather than deep technical architecture or senior strategic planning experience. JD • 6+ years in data sourcing, data architecture, business analysis, or solution design roles, ideally in financial services or data-heavy domains. • Data Sourcing Architecture Translation & Documentation: • Strong experience converting conceptual ideas and architectural discussions into clear design documents, data flow diagrams, and process maps. • Ability to independently create system architecture views and documentation based on working sessions or rough inputs. • Data flow & Solution Design Artifacts: • Skilled in creating end-to-end data flow diagrams, S2T mapping templates, data gap logs, and transformation traceability documents. • Familiarity with enterprise data pipelines and structured design documentation practices. • Experience in creating interactive data flow/architecture diagrams with exposure to front end technologies such as HTML,Javascript,D3.js,..etc • Controls & Governance Documentation: • Experience documenting validation rules, transformation controls, data checks, and governance frameworks across the data sourcing lifecycle. • Understanding of how to create audit-ready artifacts that align with internal control expectations. Tool & Technical Skills: • Proficient in diagramming tools(Gliffy, MS Visio/Power point) • . Strong skills in SQL and comfort working with data platforms like BigQuery, Cornerstone, or similar EDWs. • Ability to analyze metadata and table structures to support documentation of data hops and mappings. • Collaboration & Self-Driven Execution: • Proven ability to work closely with product leads, data architects, and engineering teams to gather input and build documentation iteratively. • Comfortable asking clarifying questions and filling in missing context with minimal supervision. • Regulatory Reporting Experience (Nice to Have): • Exposure to regulatory reporting environments (e.g., Y-9C, 2052a, Basel) is a plus, but not required. • Understanding of the types of documentation and