Lead Data Architect

What you'll do

• Define and drive enterprise data, analytics, and architecture strategy across Azure, Databricks, and Snowflake.
• Design and implement scalable, secure, and highly available data platform solutions.
• Establish architecture standards and best practices for data integration, governance, security, and AI capabilities.
• Provide technical leadership for API, event-driven, and real-time integration architectures.
• Evaluate emerging technologies and AI capabilities to recommend solutions that deliver measurable business value.
• Mentor engineering teams and provide architectural oversight across strategic initiatives and platform investments.
• Conduct data sheering to remove old, unused, or duplicate data from the system.
• Translate business needs into long-term data architecture solutions and dimensional database schemas.

What we're looking for

• Bachelor's Degree in Computer Science, Information Technology, or a related field.
• 8+ years of experience in solution, data, or enterprise architecture roles.
• Deep hands-on experience with Azure cloud services, Databricks, Snowflake, and modern data platform architectures.
• Experience with operational data integration for real-time APIs and big data integration and analytics.
• Experience designing secure solutions including identity management, access controls, key vault/secrets management, and data protection strategies.
• Working knowledge of AI/ML and Generative AI architectures and their integration into enterprise platforms.
• Strong stakeholder management and communication skills to influence technical and business leaders.
• Master's Degree (preferred).