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Remote Lead Data Architect - Snowflake/SQL/Python

Overview: In this role you will lead the design and evolution of a modern enterprise data platform to support reporting, analytics, and operational intelligence. You will partner with engineering, analytics, and business teams to establish standards, governance, and scalable cloud-native solutions. You will shape data models, ETL/ELT pipelines, and architecture patterns to drive performance, reliability, and cost optimization. This is a high-visibility, mentor-led opportunity to influence enterprise data strategy in a dynamic, data-driven organization. Compensation / Benefits Medical Insurance Dental Benefits Vision BenefitsPTO401(k)
Responsibilities:
  • Lead enterprise-wide data architecture strategy and roadmap
  • Design scalable data models for reporting and analytics
  • Build and optimize Snowflake-based data platforms
  • Architect and oversee cloud-native ELT/ETL pipelines
  • Establish data standards, governance, and architecture best practices
  • Design medallion architecture frameworks and data modernization initiatives
  • Drive performance, reliability, scalability, and cost optimization
  • Mentor engineers and reviewers of technical designs
  • Translate requirements to enterprise data solutions across stakeholders
  • Lead evaluation of emerging technologies and PoC initiatives
Key requirements:
  • 5+ years in a Data Architect role 8+ years in data architecture/engineering or related
  • Expert-level data modeling (conceptual, logical, physical)
  • Extensive Snowflake architecture and optimization experience
  • Strong SQL development in large-scale environments
  • Python development for data engineering and automation
  • Experience designing enterprise data platforms and cloud-native solutions
  • Hands-on ELT/ETL pipeline development
  • Experience implementing data quality, metadata, and lineage frameworks
  • Understanding of CDC, event-driven ingestion, and orchestration patterns
  • Ability to mentor engineers and communicate complex concepts to diverse audiences
  • Authorized to work in the United States without sponsorshipstrong communication with technical and non-technical stakeholdersmentoring and leadershipcross-functional collaboration
SnowflakeSQLPython