Lead Snowflake Developer

Job Title: Lead Snowflake Developer

Location: Dallas, TX (hybrid in office)

Overview:

We are seeking a Lead Snowflake Developer to drive the end-to-end architecture, design, and implementation of Snowflake-based data platforms. This role will partner closely with business and data stakeholders to translate requirements into canonical data models, ontologies, and data products, while ensuring scalable, secure, and high-performing data solutions across the enterprise. You will also provide technical leadership and mentorship to engineering teams, helping shape roadmap direction and data platform maturity.

Key Responsibilities:

• Lead the architecture and implementation of Snowflake environments, including 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
• Guide teams on data ingestion patterns, transformation frameworks (e.g., dbt), and Snowflake performance optimization
• Integrate data management capabilities including Data Quality (SODA), Governance, Metadata Management, and Observability
• Ensure platform scalability, security, cost optimization, and enterprise compliance
• Provide technical leadership and mentorship to data engineers and modelers
• Act as a key contributor in roadmap planning, technical decisions, and stakeholder communication

Required Skills & Experience:

• 10+ years of experience in data engineering and platform architecture, including 3+ years in a lead role
• Strong hands-on Snowflake experience, including performance tuning, clustering, security, and cost optimization
• Hands-on experience with AWS, Azure, or GCP
• Understanding of business 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, Governance, Metadata, and Observability solutions
• Experience with orchestration tools such as Apache Airflow, Prefect, or Luigi
• Strong SQL skills and expertise with ELT patterns
• Proven ability to lead cross-functional teams and communicate complex concepts to both technical and non-technical audiences

Preferred / Nice to Have:

• Experience with knowledge graphs, semantic models, or graph technologies
• Exposure to enterprise-scale data platforms supporting multiple domains and global users
• Background in cloud-native architectures and large-scale data modernization programs