Senior Data Architect

Montefiore Health System•Plaza, ND

15h•Onsite

About The Position

Montefiore is a leading academic medical center with a rich history of innovation and a commitment to improving health outcomes in underserved communities. As Montefiore transitions to a data-driven and tech-enabled organization, we are seeking experienced data professionals to contribute to our data and analytics transformation. The Senior Data and AI Architect will be instrumental in designing and implementing Montefiore’s AI-ready data Lakehouse, defining modern data architecture patterns, and establishing enterprise-wide data strategy, governance, and integration standards. This hands-on role will focus on architecting complex data solutions to address critical business and clinical questions, scaling data and insights capabilities, and supporting the mission to improve patient healthcare.

Requirements

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

Nice To Haves

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.

Responsibilities

Define and drive the vision, Montefiore data strategy, and roadmap for the enterprise data architecture, aligning with Montefiore business objectives.
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.
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.