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Snowflake Solutions Architect; Azure

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: NucleusTeq
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Snowflake Solutions Architect (Azure)

Role :
Snowflake Solutions Architect (Azure Environment)

Location :
Phoenix, AZ / Rockville, MD

Working Mode:
Day 1 onsite (2-3 days in a week – hybrid model)

Role Overview

Nucleusteq is seeking a Snowflake Solutions Architect to lead the design and implementation of an enterprise-grade Snowflake Data Platform hosted on Microsoft Azure. The candidate will architect multi-zone (Bronze, Silver, Gold) data layers, define governance frameworks, and lead the migration of legacy ETL pipelines and data assets into the modern Snowflake environment.

Key Responsibilities
  • Architect and implement Snowflake on Azure, integrating with ADLS, Synapse, and other enterprise systems.
  • Design and establish Bronze (Raw), Silver (Curated), and Gold (Presentation) data layers following best practices.
  • Define and implement data ingestion, transformation, and orchestration frameworks using dbt, Airflow, or equivalent tools.
  • Migrate existing ETL pipelines and data workloads from on-premise or legacy systems (e.g., Fiserv, Card Works, PCFS).
  • Implement security, compliance, and monitoring (RBAC, masking, lineage, cost tracking).
  • Collaborate with teams to ensure PCI DSS, SOX, and GLBA compliance.
  • Set up data quality validation rules, audit controls, and performance tuning.
  • Mentor engineers and analysts on Snowflake optimization and best practices.
Required Skills & Experience
  • 8–12 years of experience in data architecture; 3–5 years with Snowflake on Azure.
  • Expertise designing multi-zone Snowflake architectures (Bronze/Silver/Gold).
  • Strong SQL, ELT, and data modeling (3NF, Dimensional, Data Vault).
  • Deep knowledge of Azure components – ADLS, Data Factory, Synapse, Key Vault.
  • Experience in data governance, metadata management, and cost optimization.
  • Strong leadership and communication skills.
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