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Tier-1 employer, metro location, generalist data title, and broad skills create high candidate competition.
Role's finance focus increases preference for domain experience, though core data engineering skills are transferable.
8+ years and Snowflake/ETL requirements drive strict candidate filters.
Design, develop, and maintain scalable data pipelines, data models, and data products in Snowflake supporting Finance reporting, analytics, and operations.
Serve as primary data engineering partner for Finance BI Developers and stakeholders to translate business needs into sustainable data solutions.
Drive best practices in data engineering including modeling standards, testing, monitoring, governance, and operational excellence within Finance BI organization.
Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience; Master’s desirable.
8+ years in Data Engineering, Data Warehousing, or Analytics Engineering roles with enterprise-scale ETL/ELT pipelines.
Expert-level proficiency with Snowflake and modern cloud data warehousing, strong SQL skills.
Experience with dimensional modeling, data quality controls, testing frameworks, monitoring, and operational best practices.
Proven ability working with Finance or Revenue Operations data in subscription-based SaaS or software businesses preferred.
Demonstrated technical leadership in building scalable financial data products and BI solutions.
Interest or hands-on experience with generative AI and LLM-powered analytics tools and AI-assisted development platforms.