Senior Data Architect

About the role

The hands-on Senior Data and AI Architect within the Data & Analytics vertical will play a pivotal role at the forefront of our data and analytics technology transformation initiatives. This role will be responsible for designing and architecting Montefiore’s AI-ready data Lakehouse, defining modern data architecture patterns, establishing enterprise-wide data strategy, governance, and integration standards to support business cases across the health system.

Responsibilities

• Define and drive the vision, Montefiore data strategy, and roadmap for the enterprise data architecture, aligning with Montefiore business objectives.
• Data Architecture Leadership: Establish robust data governance, data management, enterprise data models across domains, data integration patterns, data quality, data privacy ensuring data consistency, accuracy, and integrity across all systems and departments.
• Create multi-year architecture and modernization roadmaps.
• Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI enablement.
• Provide thought leadership on emerging data and AI trends.
• Design and implement an AI-ready data Lakehouse architecture supporting structured, semi-structured, and unstructured data.
• Define modern data architecture patterns (e.g., medallion architecture, data mesh, data fabric, domain-driven data design).
• Establish scalable, cloud-native data platforms optimized for advanced analytics, ML, and generative AI workloads.
• Develop reference architectures, technical standards, and best practices for enterprise adoption.
• Build and deliver highly performant and scalable data products across clinical, operational and other functional areas enabling data driven decision making across the health system.
• Provide thought leadership & strategic thinking to design and enablement of Montefiore’s next generation data eco-system.
• Lead our enterprise data initiatives to ensure single, accurate, and consistent view of metrics across data domains, including standard definitions for our clinical, operational and administrative needs.
• Ai Enablement & Advanced Analytics Architect data platforms that support ML lifecycle management, feature stores, model training, and inference.
• Enable data pipelines optimized for real-time, batch, and streaming workloads.
• Ensure data readiness for LLMs, generative AI, and advanced AI use cases.
• Collaborate with Data Scientists and ML Engineers to operationalize AI models at scale.
• Help ensure security, privacy and compliance for all data assets.
• Collaborate with data product managers, business and analytic stakeholders to translate business needs to practical and scalable data solutions.
• Collaborate with data engineers, product managers, data scientists, BI developers and application teams, to understand data requirements and translate them into technical solutions.
• Serve as a trusted advisor to senior leadership on data and AI architecture decisions.
• Mentor and guide data engineers, architects, and analytics teams.
• Lead architecture reviews and ensure alignment with enterprise IT strategy.
• Drive cross-functional collaboration across business and technology teams.

Qualifications

• 12+ years of experience in modern Data Architecture, Data Modeling, Data Acquisition, Data Integration, Data Lake or Data Lakehouse, Data Warehousing, Data Products, Data Governance and Data Standardization.
• Deep expertise in translating complex clinical, operational and administrative datasets into enterprise-grade data products, data modeling techniques and performance analysis & tuning.
• Experience with initiatives that enable scalable and efficient data architectures that can handle large volumes and varieties of data, including data warehousing and data lakes.
• Minimum 4+ years of strong experience in Snowflake, SQL, Oracle and SQL Server.
• Experience with cloud-based ELT Toolsets like Matillion, dbt cloud and Python.
• Familiarity with ML/AI platforms, MLOps frameworks, and feature engineering pipelines.
• Experience with cloud providers preferably AWS.
• Understanding of data security protocols, encryption standards, data privacy and protection regulations, and best practices in access management.
• Knowledge in healthcare preferably in a health system domain.
• Experience with EPIC Cogito Analytics stack (Clarity, Caboodle etc.).
• Bachelor’s or master’s degree in computer science, Engineering or similar.

Competencies

• Ability to think strategically and drive structured execution.
• Structured, linear thinker that can conduct business outcome diagnostics and identify highest value business opportunities.
• Strong facilitation skills to help business leaders identify their most important business questions.
• Exhibits excellent judgment, especially when working with ambiguity. Sets stretch goals and works to exceed goals with a focus for results.
• Has the innate ability to gain the confidence of and build strong relationships with executives, peers, management and subordinates alike.
• Excellent business-facing presentation skills.