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Enterprise Data Architect

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Paladin Consulting
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 170000 - 260000 USD Yearly USD 170000.00 260000.00 YEAR
Job Description & How to Apply Below

Experience: 15+ years

Position Summary

Seeking a hands-on Sr. Solution Architect to lead end-to-end architecture across Data, Analytics, and AI
. The architect will design and guide enterprise data platforms, data products, lakehouse architecture, and AI/ML capabilities while partnering closely with engineering, data science, infrastructure, and business teams.

Mandatory Requirements
  • 15+ years of experience in data engineering, data architecture, analytics, or related technology disciplines.
  • 5+ years of hands-on Snowflake architecture and engineering experience — REQUIRED.
  • Strong AI/ML architecture experience — REQUIRED
    , including experience with AI/ML data infrastructure, RAG, vector databases, embeddings, or MLOps.
  • Strong experience with Microsoft Fabric or Azure Synapse Analytics
    .
  • Enterprise-scale data lakehouse architecture and data product experience.
  • Strong Power BI architecture and semantic modeling experience.
  • Experience designing modern ETL/ELT data pipelines using technologies such as Azure Data Factory, Fabric Data Factory, or dbt.
  • Experience with data governance, security, data quality, metadata, lineage, and enterprise architecture.
Key Responsibilities
  • Own end-to-end architecture for data, analytics, and AI platforms.
  • Lead architecture across Snowflake, Microsoft Fabric, Azure, and Power BI
    .
  • Design scalable lakehouse, data product, ingestion, and integration architectures.
  • Define architecture for AI/ML workloads
    , including RAG, vector stores, embeddings, feature engineering, and MLOps.
  • Establish architectural standards, governance, security, and best practices.
  • Partner with engineering, data science, infrastructure, application development, and business teams.
  • Provide technical leadership, architecture reviews, and mentorship.
Preferred
  • TOGAF certification or enterprise architecture framework experience.
  • Experience in construction, facilities management, building services, or related industries
    .
  • Experience with Kafka, Azure Event Hubs, Microsoft Purview, dbt, Monte Carlo, or Great Expectations.
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