Engineer Lead, Data (Snowflake)

Location: Atlanta, Georgia, United States

Company

hirify.global provides technology and financial-services solutions, with the Enterprise Data & AI team building secure, reliable, and governed data platforms for banking, capital markets, and corporate functions.

What you will do

• Lead the design, engineering, and support of Snowflake platform capabilities, including account onboarding, data products, secure data exchange, and client-facing data services.
• Define reusable patterns for Snowflake Secure Data Sharing, listings, and reader accounts with access controls, masking, validation, and operational documentation.
• Build platform automation using SQL, Python, Streamlit, Git-based workflows, and infrastructure-as-code practices.
• Establish controls for role-based access, data classification, encryption, audit evidence, and security compliance.
• Optimize performance and cost through workload analysis, warehouse sizing, resource monitoring, budget controls, and usage attribution.
• Provide technical direction, review designs, resolve complex production issues, and mentor engineers across data and cloud platform work.

Requirements

• Strong experience designing and operating enterprise data platforms, with advanced hands-on knowledge of Snowflake administration and engineering.
• Proficiency with SQL and Python, plus experience building reliable automation and deployment workflows through Git and continuous delivery practices.
• Experience with secure data sharing, identity and access management, encryption, data protection, and least-privilege role models.
• Working knowledge of public cloud services in AWS and/or Microsoft Azure and their integration with modern data platforms.
• Ability to translate business, security, and operational requirements into scalable technical designs and clear implementation plans.
• Demonstrated technical leadership, problem-solving, and communication skills across distributed engineering and stakeholder teams.

Nice to have

• Snowflake professional certification or comparable advanced platform experience.
• Experience with Databricks, Terraform, Streamlit, Snowflake Cortex, or governed AI platform capabilities.
• Knowledge of PCI DSS, SOX, or other controls relevant to regulated financial-services data.
• Experience supporting data-product migrations, platform modernization, or high-volume client onboarding.

Culture & Benefits

• Competitive salary and benefits.
• Career development tools, professional education, and broad opportunities for responsibility.
• Collaborative, flexible, and respectful work environment.
• For positions located in the US, a conditional offer requires a drug test.