Senior Data Platform Architect - AI, Snowflake on Azure

Northern Trust Corp; Chicago, Northern (IL, KY); Hybrid; USD 137,000 - 234,000; Full time

Benefits offered by this job

401k & pension

Medical, dental, vision

Paid time off

Parental & caregiver leave

Life & disability insurance

Job summary

Northern Trust Corp is seeking an Enterprise Data Architect to lead the overall data strategy for the Asset Management business unit. You will design, document, and operate data platforms across Snowflake on Azure, ensuring data quality, security, governance, and AI tooling alignment, while collaborating with global teams.

The role requires deep expertise in relational and cloud databases, data modeling, and modern data architectures (data vault, medallion).

Qualifications

• Expertise in designing data solutions on Snowflake Data Warehouse on Azure.
• Experience with Data and AI Governance including data quality, data security and AI consistency on cloud database and AI tooling.
• Leading teams through influence to build end-to-end data architecture considerations using domain driven design and modern engineering practices.

Responsibilities

• Document data program roadmap, architecture and patterns.
• Interface with global teams to collaborate on business deliveries (planning and execution).
• Responsible for overall data architecture for enterprise data domains including data acquisition, data warehouse, data provisioning and data distribution.
• Provide design level functional and technical expertise with best practices.

Skills

Snowflake

Azure

Relational databases

Data modeling

Data governance

AI/ML

Data warehouse

SQL

Python

NoSQL

Tools

Databricks

Job description

Northern Trust Corp is seeking an Enterprise Data Architect to lead the overall data strategy for the Asset Management business unit. You will design, document, and operate data platforms across Snowflake on Azure, ensuring data quality, security, governance, and AI tooling alignment, while collaborating with global teams.

The role requires deep expertise in relational and cloud databases, data modeling, and modern data architectures (data vault, medallion).