Unknown Company

Snowflake Data Architect

phoenix, az • Posted 4 days ago
Onsite Full Time Software Architecture & Engineering

The Snowflake Data Architect leads the design and implementation of enterprise-scale data solutions using Snowflake and related technologies. This role provides architectural leadership, ensuring solutions are robust, scalable, and aligned with business strategy. The architect drives innovation, sets technical direction, and enforces data governance, enabling the organization to leverage data assets for strategic advantage.

esKey Responsibiliti

  • es
    1. Provide Architectural Leadership By Designing Enterprise Data Platforms Using Snowflake, Ensuring Alignment With Business Objectives And Industry Best Practic
  • es.2. Architect And Optimize Data Pipelines And Transformation Workflows Using Dbt And Sql To Enable Efficient, Scalable, And Reliable Data Processi
  • ng.3. Define And Enforce Data Governance, Security, And Compliance Standards Within Snowflake Environments, Establishing Architectural Guidelines And Review Process
  • es.4. Integrate Snowflake With Python-Based Data Engineering Solutions To Support Advanced Analytics And Machine Learning Initiativ
  • es.5. Collaborate With Business Stakeholders To Translate Requirements Into Scalable Snowflake Data Models And Solutions That Drive Strategic Initiativ
  • es.6. Lead The Evaluation And Adoption Of Emerging Snowflake Features And Related Technologies To Ensure The Data Architecture Remains Current And Competiti
  • ve.7. Mentor And Guide Data Engineering Teams In Snowflake Best Practices, Fostering Technical Excellence And Knowledge Sharing Across The Organizati
  • on.8. Oversee Architectural Reviews And Ensure All Design Deliverables Adhere To Organizational And Industry Standar

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Skill Requirem

  • ents1. Architectural Leadership In Designing And Implementing Complex Data Solutions Using Snowf
  • lake2. Advanced Proficiency In Data Modeling, Performance Tuning, And Security Within Snowf
  • lake3. Solid Command Of Sql For Data Manipulation, Optimization, And Analy
  • tics4. Advanced Proficiency In Python For Data Engineering And Integration T
  • asks5. Strong Understanding Of Data Governance, Compliance, And Security Best Practices

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