Key Responsibilities
• 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
Required Skills & Experience
• 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 stakeholders
Nice to Have
• 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
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