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Data Enterprise Architect - Direct Client - San Francisco, CA

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Redefined Corp
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Data Enterprise Architect -  Direct Client - San Francisco, CA

Job Summary

We are seeking an experienced Enterprise Data Architect to design and modernize enterprise data platforms supporting analytics, reporting, and advanced data insights. The ideal candidate will lead architecture initiatives for cloud-based data ecosystems using Azure and Snowflake while ensuring scalability, governance, security, and high data quality in a regulated enterprise environment.

Key Responsibilities
  • Define enterprise data architecture, standards, and long-term roadmaps
  • Design and implement modern data platforms, including data lakes, lakehouse, and data warehouse solutions
  • Lead cloud data architecture initiatives using Azure services (ADF, ADLS, Databricks, Synapse) and Snowflake
  • Establish enterprise data governance, data quality, metadata, and lineage frameworks
  • Design scalable ETL/ELT pipelines to support analytics, BI, and AI/ML workloads
  • Collaborate with business and engineering teams to deliver enterprise data solutions
Required Skills
  • 10+ years of experience in data architecture or enterprise data platforms
  • Hands-on experience with Snowflake or modern cloud data warehouse platforms
  • Strong SQL and Python for data engineering and automation
  • Experience designing enterprise data models and governance frameworks
  • Knowledge of data privacy, security, and regulatory compliance practices
Preferred
  • Experience in regulated industries or large enterprise environments
  • Exposure to AI/ML analytics platforms and real-time data processing
  • Experience leading architecture strategy and mentoring engineering teams
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