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Snowflake DW Architect

Job in Rosemead, Los Angeles County, California, 91770, USA
Listing for: ClifyX, INC
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Job Description & How to Apply Below

Detailed job description - Skill Set:

  • Expertise in Snowflake – Data modeling, ETL, Azure storage, Python and Best Practices in Snowflake.
  • Good Knowledge in Customer Service domain, especially in the field of Customer Meter Read, Billings, Rate Programs etc
  • Design, Develop and implement effective Analytics solutions and models with Snowflake
  • Design, Architecture and implement effective Analytics solutions and models using technologies
  • Examine and identify Data warehouse structural necessities by evaluating business requirements.
  • Assess Data warehouse implementation procedures to ensure they comply with internal and external regulations.
  • Prepare accurate Data warehouse design and architecture reports for management and executive teams.
  • Monitor the system performance by performing regular tests, troubleshooting and integrating new features.
  • Recommend solutions to improve new and existing Data warehouse solutions along with optimizing query performance.
  • Review the code and ensure the accuracy to the business requirements.
  • Educate staff members through training and individual support.
  • Offer support by responding to system problems in a timely manner.
  • Understand and document data flows in and between different systems/applications
  • Guidance to developers in preparing functional/technical specs to define reporting requirement and ETL process.

Technical Skills

  • Snowflake Architecture, Azure Data Factory, python, Py Spark
  • In-depth knowledge of Snowflake end to end data architecture, demonstrated leadership skills, and expertise in technical project management
  • AI knowledge is a plus
  • Snowflake Certification is a Plus
  • Utility and Customer Service Domain knowledge like Billing and Rate Programs.
  • Data Modeling, Framework build on Ingestion, Audit, Logging and Reconciliation
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