YEARS OF EXPERIENCE

5+ years

WHAT SKILLS YOU BRING

• 5+ years architecting enterprise data and AI/ML solutions with Databricks and Apache Spark
• Expertise in cloud platforms (AWS, Azure, GCP) and data Lakehouse architectures
• Strong experience with ETL/ELT pipelines, data governance, and security best practices
• Proven ModelOps implementation including lifecycle management, versioning, and deployment automation
• Excellent consulting, communication, and stakeholder management capabilities
• Track record of driving technology adoption and influencing senior leadership decisions

WHY THIS ROLE MATTERS

You’ll spearhead the enterprise adoption of Databricks as our premier AI/ML platform, establishing technical architectures that drive innovation while ensuring seamless collaboration with internal teams. Your leadership will enable data scientists and analysts to independently develop, train, and deploy models at scale, fostering a culture of self-service analytics and advancing our organization’s data-driven transformation.

WHAT YOU WILL DO

• Design, implement, and optimize scalable, secure Databricks-based AI/ML architectures for advanced analytics and machine learning workloads
• Partner with infrastructure, security, and compliance teams to ensure solutions meet organizational standards and regulatory requirements including data sovereignty
• Architect robust integrations with diverse internal and external data sources for efficient data ingestion, transformation, and access
• Develop frameworks, tools, and documentation enabling data scientists and analysts to independently develop, train, and deploy models
• Create and implement comprehensive ModelOps strategy managing model lifecycle, governance, versioning, and deployment at scale
• Integrate ModelOps seamlessly with existing DevOps and DataOps practices across the organization