Enterprise Databricks & GenAI Architect

International Business Machines Corporation; Atlanta (GA); Remote; USD 170,000 - 210,000; Full time

Job summary

IBM Consulting is seeking a Senior Data/AI Architect to lead multi-cloud data and AI architecture, focusing on Databricks lakehouse platforms, data governance, and scalable governance patterns. You will shape end-to-end data products, security, and AI lifecycle across AWS, GCP, and Azure with executive-facing communication.

You will collaborate with stakeholders to translate business goals into resilient designs, embedding responsible AI and cost controls while driving architectural reviews and

Qualifications

• Evidence of enterprise data architecture, data migration, and multi-cloud design.
• Experience with data governance, security, and policy enforcement for AI.
• Strong communication with executives and technical teams.
• Certifications in Databricks data engineering and ML are highly valued.

Responsibilities

• Define target data & AI architecture across AWS/Databricks and GCP ML services.
• Lead data migration architecture including patterns, sequencing, cutover, and risk management.
• Own data architecture standards: models, lakehouse layers, and data products.
• Define data engineering patterns for ingestion, transformation, orchestration, and cost control.
• Architect the reporting layer with semantic models and self-service access.
• Design the ML/GenAI lifecycle: training, serving, MLOps, monitoring.
• Ensure secure cross-cloud data movement across AWS, Azure, and GCP.

Skills

Enterprise data architecture

API & microservices

Data governance & security

Executive communication

Cloud data platforms

Education

Databricks Certified Data Engineer

Databricks Certified Machine Learning Professional

Tools

Spark (PySpark/Scala)

Delta Lake

MLflow

Databricks Lakehouse

Kafka

AWS/Azure/GCP

SAP BTP

Job description

IBM Consulting is seeking a Senior Data/AI Architect to lead multi-cloud data and AI architecture, focusing on Databricks lakehouse platforms, data governance, and scalable governance patterns. You will shape end-to-end data products, security, and AI lifecycle across AWS, GCP, and Azure with executive-facing communication.

You will collaborate with stakeholders to translate business goals into resilient designs, embedding responsible AI and cost controls while driving architectural reviews and