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Lead Snowflake Developer

AnblicksDallas, TX🇺🇸United StatesPosted 6 Aug 2026

Why This Role Stands Out

This Lead Snowflake Developer role offers a fantastic opportunity to shape data architecture and drive innovation in a hybrid environment, perfect for experienced data engineers who excel in technical leadership and cloud-based data solutions. You'll mentor teams, influence strategy, and build scalable data products, making this an ideal position for those passionate about advancing their careers in data engineering.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
3 weeks ago
SQLAWSSnowflakeAirflowApacheAzureGoogle CloudPower BIdbt

Job Description

Job Title: Lead Snowflake Developer

Location: Dallas, TX

Key Responsibilities

  • Lead the end-to-end architecture and implementation of Snowflake(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 performance optimization in Snowflake.
  • Integrate data management capabilities including Data Quality using 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 modelers.
  • Act as a key contributor in roadmap planning, technical decision-making, and stakeholder communication.

Required Skills & Experience

  • 12+ years of experience in data engineering and platform architecture, with at least 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)
  • Understanding with Data Domains (Client, Finance etc.)
  • Deep understanding of 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.
  • Solid SQL skills and strong understanding of ELT patterns.
  • Ability to lead cross-functional teams and communicate complex concepts to both technical and non-technical stakeholders.

Must have Skill:

  • Power BI

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