Senior Director of Data Engineering

Role Overview: As a data engineering leader with over 15 years of experience in AI-driven environments, you will be responsible for designing and scaling enterprise-grade data architectures, models, and governance frameworks. Your expertise with tools like Databricks, Airflow, Apache Spark, RDBMS, storage, and cloud platforms (Azure/AWS/GCP) will be crucial in transforming legacy systems to modern, cloud-native data platforms. Additionally, your knowledge of LLMs, RAG, vectorization, and data compliance/security frameworks (preferably HIPAA/SOC2) will be instrumental in setting CI/CD/MLOps standards. Your background in DevOps environments and prior coding experience (.NET, SQL Server) will enable you to lead and manage multi-location teams effectively. Key Responsibilities: - Lead data engineering strategy and execution for internal platforms and workflows. - Architect and optimize cloud-based data solutions focusing on cost and performance. - Drive the development of scalable data platforms and self-service capabilities for cross-functional users. - Partner with product, engineering, and business leaders to ensure seamless system integration. - Oversee development quality through code reviews, delivery governance, and KPI tracking. - Mentor engineers, foster a high-performance culture, and manage escalations and delivery risks. - Align teams to the product vision, ensure accountability, and continuously improve engineering processes. Qualifications Required: - 15+ years of experience in data engineering with recent leadership in AI-driven environments. - Proven ability to design and scale enterprise-grade data architectures, models, and governance frameworks. - Strong hands-on expertise with tools like Databricks, Airflow, Apache Spark, RDBMS, storage, and cloud platforms (Azure/AWS/GCP). - Experience in transforming legacy systems to modern, cloud-native data platforms and setting CI/CD/MLOps standards. - Knowledge of LLMs, RAG, vectorization, and modern data compliance/security frameworks (HIPAA/SOC2 preferred). - Background in DevOps environments, including automation and prior coding experience (.NET, SQL Server). - Strong people leadership skills, including hiring, mentoring, managing multi-location teams, and driving delivery under pressure.,