Information Architect (Data Architect)

Must haves;

1)SQL

2) Data Architecture background

3) 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 Google Cloud Platform) 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