Cloud Data & AI Solution Architect (Snowflake on Azure)

Northern Trust; Chicago (IL); On-site; USD 137,400 - 233,600; Full time

Job summary

Northern Trust is seeking a Solution Architect for Data & AI to drive strategic data initiatives and modern architecture across a global team. You will design data platforms, lead data product initiatives, and enable AI-enabled business solutions in a complex financial services environment.

The role emphasizes building scalable data models, governance-aware pipelines, and cloud-native data warehouses using Snowflake on Azure, with experience in ML/GenAI and MLOps helping to transform investment

Qualifications

• Experience with data platforms and cloud-based data solutions.
• Proven ability to design and implement data architectures at scale.
• Strong understanding of Snowflake internals, data pipelines and data warehouse concepts.
• Ability to evangelize AI strategy to diverse stakeholders.
• Experience with dimensional modeling and Data Vault/Star schemas.
• Background in Investment/Asset Management is a plus.

Responsibilities

• Document and architect data platform solutions across programs.
• Collaborate with global teams to deliver business-ready data products.
• Provide design-level technical guidance and best practices.
• Implement cloud-based delivery approaches and modern architecture patterns.
• Lead proof-of-concepts to validate feasibility of architecture solutions.
• Apply advanced analytics techniques including ML/GenAI and MLOps.

Skills

Snowflake on Azure

AI/ML tooling

Cloud architecture

Data modeling

NoSQL databases

Dimensional modeling

Data warehousing

Stakeholder communication

Proof of concepts

End-to-end solution design

Team leadership

Data product mindset

Relational databases

Tools

Snowflake

Azure

GenAI / AI tooling

MLOps

SQL

Job description

Northern Trust is seeking a Solution Architect for Data & AI to drive strategic data initiatives and modern architecture across a global team. You will design data platforms, lead data product initiatives, and enable AI-enabled business solutions in a complex financial services environment.

The role emphasizes building scalable data models, governance-aware pipelines, and cloud-native data warehouses using Snowflake on Azure, with experience in ML/GenAI and MLOps helping to transform investment