Director, Principal Data Engineer - AI & ML Enablement

About the Role

Key Responsibilities

• Define and drive the long-term data engineering vision and architectural roadmap.
• Lead the design and implementation of enterprise-scale data and AI pipelines—real-time, batch, and hybrid.
• Establish frameworks for data governance, cataloging, and model alignment to ensure trust and transparency.
• Partner with AI leadership to deliver infrastructure for scalable model training, Retrieval-Augmented Generation (RAG), and intelligent agents.
• Build and manage feature stores and data models optimized for ML training and inference.
• Architect robust, scalable pipelines for ingesting, transforming, and delivering structured and unstructured data.
• Integrate data across modern cloud-native platforms (e.g., BigQuery, Databricks) and multi-cloud environments (Azure, GCP).
• Champion secure, compliant data platforms and advocate for best practices across business and technology teams.
• Mentor senior engineers and contribute to technical leadership forums to foster a culture of excellence.

Requirements

• 10+ years of experience leading enterprise data engineering strategies and platforms.
• Deep expertise in architecting end-to-end data solutions for AI/ML use cases.
• Proven leadership in cross-functional initiatives involving real-time data, governance, and security.
• Hands-on experience with RAG pipelines, feature stores, and ML data readiness.
• Strong influence in cloud infrastructure design and platform scalability.
• Knowledge of data quality, lineage, and compliance frameworks.
• Ability to align data engineering initiatives with business strategy and executive priorities.
• A track record of mentoring and developing high-performing engineering teams.

Nice to Have

• Experience with cloud platforms such as Google Cloud Platform (GCP) and Azure.
• Familiarity with data governance, cataloging, and compliance frameworks.
• Experience working with secure, compliant data platforms.

Qualifications

• Educational background is not explicitly specified in the description.

Benefits & Perks

• Flexible benefit programs supporting family, financial, physical, mental, and social health needs.
• Opportunity to work in a purpose-driven, inclusive, and high-performing culture.