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