Senior Data Architect — AI & Cloud Platforms

HITEC; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) retirement plan

Paid time off

Job summary

IBM Consulting seeks a Sr. Consultant, Data Architect to own the technical architecture of client engagements on modern cloud data platforms such as Snowflake and Databricks. You will drive platform design, data modeling, ingestion, security governance, and CI/CD standards while mentoring engineers and leading delivery.

This role supports AI and analytics workloads across AWS, Azure, and GCP. The ideal candidate combines deep data engineering expertise with strong communication for executive

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 8+ years in data engineering, warehousing or solution architecture.
• 2+ years as lead architect on enterprise data platform engagements.
• Client-facing consulting or professional services delivery experience.
• 3+ years hands-on on Snowflake or Databricks.
• Strong SQL and Python proficiency; ELT and orchestration tooling.
• CI/CD for data platforms; pipelines and testing.

Responsibilities

• Lead discovery sessions to translate business goals into a production-ready data platform architecture.
• Design platform topology, environment strategy, security and governance, cost and performance.

Skills

Data architecture

Cloud platforms

SQL

Python

dbt

CI/CD

Leadership

Communication

Agile

Data modeling

Education

Bachelor's degree

Master's degree

Tools

Snowflake

Databricks

dbt

Matillion

Informatica

Airflow

GitHub Actions

Terraform

Job description

IBM Consulting seeks a Sr. Consultant, Data Architect to own the technical architecture of client engagements on modern cloud data platforms such as Snowflake and Databricks. You will drive platform design, data modeling, ingestion, security governance, and CI/CD standards while mentoring engineers and leading delivery.

This role supports AI and analytics workloads across AWS, Azure, and GCP. The ideal candidate combines deep data engineering expertise with strong communication for executive