Enterprise Data Architect (Contract to Hire)

Coltech • United State
Remote
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AI Summary

Lead the design and evolution of a modern enterprise data platform built on Snowflake. Define strategy, guide implementation, and ensure best practices across the data ecosystem. Collaborate with global teams to deliver scalable data solutions.

Key Highlights
Design and architect scalable enterprise data lakehouse solutions using Snowflake
Provide technical leadership around modern data architectures
Collaborate with global teams to deliver scalable data solutions
Key Responsibilities
Design and architect scalable enterprise data lakehouse solutions using Snowflake
Provide technical leadership around modern data architectures
Work closely with data engineering teams to guide implementation and ensure architectural alignment
Conduct regular technical syncs with developers and engineering teams
Review development progress and provide technical direction
Drive improvements to the enterprise data platform and analytics capabilities
Collaborate with global teams to deliver scalable data solutions
Technical Skills Required
Snowflake Snowflake Cortex LLM SQL Python AWS Azure
Benefits & Perks
Contract-to-hire
Fully remote
Pay range: $100-$110 per hour
Nice to Have
Experience with data fabric architectures
Experience working within SaaS environments
Exposure to LLM / GPT implementations

Job Description


Enterprise Data Architect (Contract to Hire)



About the Company

We are seeking an experienced Enterprise Data Architect to lead the design and evolution of a modern enterprise data platform built on Snowflake. This role will play a critical part in shaping a scalable lakehouse architecture, enabling advanced analytics and supporting emerging LLM-driven capabilities.



About the Role

This is a high-impact, hands-on architecture role working closely with engineering teams to define strategy, guide implementation, and ensure best practices across the data ecosystem.



Responsibilities

  • Design and architect scalable enterprise data lakehouse solutions using Snowflake
  • Provide technical leadership around modern data architectures, including Snowflake Cortex and LLM-enabled data capabilities
  • Work closely with data engineering teams to guide implementation and ensure architectural alignment
  • Conduct regular technical syncs with developers and engineering teams
  • Review development progress and provide technical direction
  • Drive improvements to the enterprise data platform and analytics capabilities
  • Collaborate with global teams to deliver scalable data solutions
  • Support the implementation of advanced analytical and AI-driven data solutions
  • Engage with senior stakeholders to align technical strategy with business objectives


Qualifications

  • Strong experience designing enterprise data architectures
  • Deep hands-on expertise with Snowflake, particularly enterprise-scale deployments
  • Proven experience building data lakehouse platforms
  • Experience working with Snowflake Cortex or LLM integrations
  • Strong SQL and scripting skills
  • Solid Python development experience
  • Experience designing advanced analytics and data platforms
  • Strong engineering background with the ability to guide technical teams
  • Experience working across AWS (primary) and Azure
  • Experience collaborating with data engineering teams


Required Skills

  • Strong experience designing enterprise data architectures
  • Deep hands-on expertise with Snowflake, particularly enterprise-scale deployments
  • Proven experience building data lakehouse platforms
  • Experience working with Snowflake Cortex or LLM integrations
  • Strong SQL and scripting skills
  • Solid Python development experience
  • Experience designing advanced analytics and data platforms
  • Strong engineering background with the ability to guide technical teams
  • Experience working across AWS (primary) and Azure
  • Experience collaborating with data engineering teams


Preferred Skills

  • Experience with data fabric architectures
  • Experience working within SaaS environments
  • Exposure to LLM / GPT implementations
  • Experience mentoring or enabling engineering teams


Pay range and compensation package

  • Contract Type: Contract-to-hire
  • Location: Fully remote (preference for US-based candidates)
  • Rate: $100 - $110 per hour
  • Start Date: ASAP
  • Travel: None


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