Director, Data & AI Architecture — Enterprise Lakehouse Leader

Abbott; Waukegan (IL); On-site; USD 149,000 - 299,000; Full time

Benefits offered by this job

Data-driven leadership

Job summary

Abbott is seeking an IT Director, Data and AI Architecture to define and deliver enterprise data and AI architecture vision. You will architect scalable, secure, and AI-ready data platforms, enable advanced analytics and AI use cases, and set technical standards across Abbott's data landscape.

The role requires hands-on leadership, 10+ years in data architecture, and deep expertise with Snowflake, Databricks, and Azure data services. Based in the United States (Waukegan).

Qualifications

• Master's degree or higher in relevant field.
• 10+ years in enterprise data architecture, cloud data platforms, or large-scale analytics architecture.
• 5+ years designing and implementing modern cloud-native data platforms and enterprise-scale architectures.
• 10+ years overall tech experience with strong architecture background.
• 3+ years at Director level or senior IC leadership.
• Proven expertise in technical architecture leadership and strategic initiatives.
• Hands-on experience with Snowflake, Databricks, Microsoft Fabric, Azure Data Services or equivalent.
• Proven experience in large-scale lakehouse architectures.
• Experience with AI-ready data ecosystems including ML, Generative AI, vector retrieval, semantic search, and RAG.
• Deep understanding of Data Mesh, Data Fabric, and data product standards.
• Experience with APIs, event-driven architectures, Kafka, streaming and real-time processing.
• Experience defining data architecture standards (metadata, lineage, MDM, data quality).
• Experience leading architecture reviews and technical oversight for strategic initiatives.
• Strong communication with executives, architects, engineers, and stakeholders.

Responsibilities

• Lead architecture reviews for major data and analytics initiatives.
• Serve as trusted technical advisor on enterprise data strategy and architecture decisions.
• Define reference architectures and standards for Snowflake, Databricks, Microsoft Fabric, and Azure Data Services.
• Drive decisions on data lakehouse design, medallion architectures, semantic layers, and data platforms.
• Define enterprise information architecture, canonical models, and data product standards.
• Review engineering designs for scalability, resiliency, performance, and cost.
• Partner with engineering to solve complex technical architecture challenges.
• Chair architecture review boards and provide final recommendations for data/AI investments.
• Maintain hands-on awareness of modern data engineering, cloud, analytics, and AI tech.
• Design enterprise-scale lakehouse architectures with Databricks, Delta Lake, Iceberg, Snowflake.

Skills

Data architecture

Cloud data platforms

Enterprise architecture

AI architecture leadership

Snowflake

Databricks

Microsoft Fabric

Azure Data Services

Lakehouse architectures

Data Mesh/Data Fabric

APIs/Event-driven

Data governance

Stakeholder communication

Data quality

Education

Master's degree in Computer Science or related field

Tools

Snowflake

Databricks

Microsoft Fabric

Azure Data Services

Delta Lake

Apache Iceberg

Kafka

Job description

Abbott is seeking an IT Director, Data and AI Architecture to define and deliver enterprise data and AI architecture vision. You will architect scalable, secure, and AI-ready data platforms, enable advanced analytics and AI use cases, and set technical standards across Abbott's data landscape.

The role requires hands-on leadership, 10+ years in data architecture, and deep expertise with Snowflake, Databricks, and Azure data services. Based in the United States (Waukegan).