Snowflake Data Architect - USA

Join Datacolor as we help enterprises build production-grade data platforms that power analytics, AI, and operational decision-making. As a Snowflake Data Engineer, you’ll play a hands-on role designing, building, and optimizing modern data pipelines and models that support high-impact business use cases.

You’ll work closely with data architects, analytics teams, and business stakeholders to ensure data is reliable, performant, and ready for scale—especially in complex enterprise and M&A environments.

Role Overview

Design and evolve cloud-native data platform and modern data ecosystem on Snowflake. This role is responsible for defining scalable, secure, and high-performance data architectures that enable analytics, AI, and data-driven decision-making across the organization.

Key Responsibilities

• Architect, design, and optimize Snowflake-based data platform to support analytics, reporting, and AI/ML workloads
  

• Define and implement robust data models supporting enterprise use cases across sales, product, finance, and operations
  

• Design and manage ELT/ETL pipelines using modern data tooling to ensure reliable, timely, and high-quality data delivery
  

• Partner with data engineers, analytics teams, and application developers to enable self-service analytics and governed data access
  

• Establish data architecture standards, best practices, and design patterns for scalability, performance, and cost optimization
  

• Drive data governance, lineage, and quality initiatives in collaboration with security, compliance, and platform teams
  

• Optimize Snowflake performance through warehouse design, clustering, query optimization, and workload isolation
  

• Support integration of external and internal data sources into the enterprise data ecosystem
  

• Contribute to roadmap planning and technical decision-making for the broader data platform strategy
  

Required Skills & Experience

• Strong hands-on experience with Snowflake architecture, performance tuning, and cost optimization
  

• Deep expertise in data architecture and data modeling (dimensional, normalized, and hybrid models)
  

• Experience designing and building ELT/ETL pipelines , preferably with modern tools and frameworks
  

• Practical experience with dbt for transformations, testing, and documentation
  

• Strong understanding of cloud data platforms and modern analytics architectures
  

• Experience implementing data governance , data quality, and metadata management frameworks
  

• Proficiency with SQL and strong understanding of analytical query patterns
  

• Experience working in cloud environments (AWS, Azure, or GCP)
  

• Ability to translate business requirements into scalable technical designs
  

Preferred Qualifications

• Experience supporting analytics, BI, or AI/ML use cases at enterprise scale
  

• Familiarity with data observability, lineage, and cataloging tools
  

• Experience working in a SaaS or data-intensive product environment
  

• Exposure to security and privacy requirements (e.g., role-based access, data masking)
  

What Success Looks Like

• A scalable, performant Snowflake data platform supporting enterprise analytics and AI initiatives
  

• Well-governed, high-quality data that is easily discoverable and trusted across teams
  

• Efficient ELT pipelines enabling faster insights and reduced operational overhead
  

• Clear data architecture standards adopted consistently across the organization
  

Datacolor is committed to building a diverse and inclusive workplace. We are an equal opportunity employer and make employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic.