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Strong employer brand and metro location but senior, specialized Snowflake expertise limits applicant density.
Medium: core data architecture skills transfer across industries, but healthcare/regulatory experience improves fit.
High: explicit 14+ years requirement, 5+ years Snowflake, governance, and regulatory mandates tighten filters.
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Define and lead enterprise data architecture strategy focused on security, scalability, and accessibility for business operations, analytics, and AI.
Lead design and implementation of Snowflake-based data platforms, including advanced features like Cortex AI, agentic AI solutions, and cost optimization.
Provide technical leadership and governance across data integration, data quality, compliance, and stakeholder management in a global commercial environment.
Bachelor's degree in Computer Science, IT, Data Engineering, or related field.
14+ years of experience in data architecture, data engineering, or enterprise architecture.
5+ years of hands-on experience with Snowflake architecture, performance tuning, and governance.
Work Experience Required: 14+ years in data architecture-related roles.
Experienced in large-scale enterprise data solutions within commercial or revenue-driven environments, translating business needs into data architecture.
Strong expertise in Snowflake platform advanced features and leadership in implementing cloud data platforms (Azure preferred).
Proven ability to influence senior leadership and lead cross-functional, global teams for complex data and AI initiatives.