5+ years of hands-on experience building production data solutions for SaaS organizations on Snowflake as a Data Engineer, BI Developer, Analytics Engineer, or similar role. Strong experience with Snowflake objects and capabilities, including warehouses, databases, roles, schemas, views, stored procedures, tasks, streams, and performance tuning. Experience building reliable ELT or ETL pipelines using incremental loads, CDC, backfills, reconciliation, and idempotent processing. Strong dimensional modeling and data warehousing foundations, including facts, dimensions, star schemas, marts, and reusable business entities. Salesforce data experience, including core objects, relationships, API limitations, and Salesforce-to-warehouse pipelines. Hands-on experience with Snowflake Cortex capabilities such as Cortex Analyst, Cortex Search, Cortex LLM functions, and governed AI data access patterns. Experience building AI-ready semantic models and curated datasets for governed analytics, BI, and enterprise AI use cases. Understanding of secure enterprise AI integration patterns, including governed structured data access and MCP-based integrations. Strong knowledge of data governance, privacy, security, RBAC, masking policies, row access policies, secure views, and compliance-aware data handling. Proven Snowflake FinOps experience, including credit monitoring, warehouse sizing, workload optimization, storage awareness, and query cost reduction. Strong system analysis, requirements gathering, source-to-target mapping, lineage, impact analysis, and stakeholder communication skills.
