Snowflake Lead

Hybrid in Dallas, TX, US • Posted 10 hours ago • Updated 10 hours ago

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No Travel Required

Hybrid

Depends on Experience

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Snowflake

Summary

Position: Snowflake Lead
Location: Richardson, TX (Hybrid model)
Duration: Long-term Contract

Lead end-to-end architecture and implementation of Snowflake data platforms (Bronze / Silver / Gold layers)
Partner with business and data stakeholders to translate requirements into canonical models, ontologies, and data products
Define and enforce data modeling standards, naming conventions, and domain-driven design principles • Guide teams on data ingestion patterns, transformation frameworks (e.g., dbt), and Snowflake performance optimization
Integrate data management capabilities including Data Quality (SODA), Data Governance, Metadata Management, and Data Observability • Ensure platform scalability, security, cost optimization, and compliance with enterprise standards • Provide technical leadership and mentorship to data engineers and data modelers
Act as a key contributor in roadmap planning, technical decision-making, and stakeholder communication
10+ years of experience in data engineering and platform architecture, with 3+ years in a lead role • Strong hands-on experience with Snowflake (performance tuning, clustering, security, cost optimization)
Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
Strong understanding of data domains (e.g., Client, Finance, etc.)
Deep expertise in data modeling (dimensional, canonical, domain-driven) • Experience designing or working with ontology / semantic layers (business vocabularies, relationships, metrics) • Strong knowledge of modern data stack tools (dbt, orchestration, CI/CD for data) • Experience implementing Data Quality, Data Governance, Metadata, and Data Observability solutions • Experience with orchestration tools such as Apache Airflow, Prefect, or Luigi • Excellent SQL skills and strong understanding of ELT patterns • Proven ability to lead cross-functional teams and communicate complex concepts to technical and non-technical stakeholder.
Experience with knowledge graphs, semantic models, or graph technologies
Exposure to enterprise data platforms supporting multiple domains and global users
Background in cloud-native architectures and large-scale data modernization programs

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: PTPz87yWzcOwE6H
Position Id: 8868127
Posted 10 hours ago

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Snowflake Lead

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