Senior Data Architect & AI Platform Lead

HITEC; Burlingame (CA); Remote; USD 150,000 - 210,000; Full time

Job summary

IBM Consulting is seeking a Managing Consultant, Data Architect to lead enterprise data and AI platform architecture across client engagements. You will shape target-state architectures using Snowflake, Databricks, and cloud-native services on AWS, Azure, and GCP, guiding data modeling, integration, governance, and standards.

You will drive architecture reviews, mentor delivery teams, and help set platform direction with AI readiness and data-maturity assessments, delivering high-impact, trusted

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent.
• 10+ years in data engineering/warehousing or solution architecture.
• Experience owning end-to-end architecture on enterprise data platform engagements.
• Client-facing consulting or professional services delivery experience.
• 5+ years with modern cloud data platforms (Snowflake or Databricks).
• Proficiency in SQL and Python; experience with ELT/ orchestration tools.

Responsibilities

• Own end-to-end target-state architecture for data and AI platforms across engagements.
• Lead architecture assessments, AI readiness, and data maturity evaluations.
• Design data models and integration patterns; justify patterns and record decisions.
• Author and maintain reference architectures and engineering standards.
• Run architecture reviews; approve or redirect designs; govern multiple engagements.

Skills

Snowflake

Databricks

Cloud architecture

Data modeling

SQL

Python

Leadership

Education

Bachelor's Degree

Master's Degree

Tools

dbt

Airflow

Informatica

Terraform

Job description

IBM Consulting is seeking a Managing Consultant, Data Architect to lead enterprise data and AI platform architecture across client engagements. You will shape target-state architectures using Snowflake, Databricks, and cloud-native services on AWS, Azure, and GCP, guiding data modeling, integration, governance, and standards.

You will drive architecture reviews, mentor delivery teams, and help set platform direction with AI readiness and data-maturity assessments, delivering high-impact, trusted