Information Architect (Data Architect)

Must haves: 1)SQL2) Data Architecture background3) 10 years of data architecture or data modeling You will: Own and evolve the enterprise data modeling and information architecture strategy, ensuring scalability, extensibility, and alignment with business domains. Lead discovery and requirements definition with senior stakeholders, translating business processes, KPIs, and analytical needs into durable data architectures. Define, govern, and enforce enterprise data modeling standards, including naming conventions, dimensional consistency, normalization principles, and documentation practices. Architect conceptual, logical, and physical data models that bridge business intent and technical implementation across analytical and operational use cases. Drive the use of Bus Matrix-style frameworks to align business processes with data subjects and ensure cross-domain consistency. Establish appropriate data granularity and dimensional design, balancing analytical flexibility, performance, and long-term maintainability. Lead data profiling and source system analysis to assess data quality, identify risks, and inform modeling and integration decisions. Define and review source-to-target mappings (STTM), ensuring traceability, accuracy, and consistency across ingestion and transformation pipelines. Embed time-variant and historical modeling patterns to support trend analysis, auditability, and longitudinal reporting. Serve as a design authority, providing architectural review and sign-off on data models prior to implementation. Partner with data engineering, analytics, and platform teams to handoff production-ready models, ensuring clarity and implementation alignment. Mentor senior engineers and architects, elevating organizational capability in advanced data modeling and domain-driven design. Influence data governance initiatives, including business glossary alignment, lineage awareness, security classification, and compliance considerations. Shape the long-term data architecture roadmap, supporting analytics, reporting, and AI/ML enablement at enterprise scale.

Basic Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related technical discipline.10+ years of progressive experience designing and governing enterprise-scale data architectures, including data modeling, analytics, and business intelligence platforms. Demonstrated expert-level capability in dimensional and semantic data modeling, including production use of star schemas and analytical models. Hands-on experience architecting data solutions on modern cloud platforms (AWS, Azure, or GCP) and at least one cloud-native data platform (e.g., Snowflake, Azure Synapse, Databricks).Expert proficiency in SQL, including the ability to design, optimize, and validate complex analytical queries over large datasets. Proven ability to translate business requirements into durable data models that support enterprise reporting, analytics, and decision-making