Data Architect

Job Title

Information Architect (Data Architect)

Glendale, CA 91201 (4 days onsite)

Fulltime

Must haves:

• SQL
• Data Architecture background
• 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.

• 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.

Thanks & Regards,

Saravanan

DMinds Solutions Inc.