Enterprise Data Architect

Northern Trust

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$137,400–$233,600 / yr
Employment
Full-time
Posted
54 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $186k
$124k $245k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $140,318–$215,125 — the blue band above. At the midpoint, this role pays about $186k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Northern Trust

Northern Trust is a leading provider of wealth management, asset servicing, asset management, and banking services to corporations, institutions, and high-net-worth individuals. Industry: Financial Services & Asset Management

Northern Trust currently has 113 open roles on FindRole.

Listed pay typically runs $114,500–$194,700 across 76 roles with salary data.

Most-posted roles

View all roles at Northern Trust

At a glance

TL;DR · Enterprise Data Architect

The Enterprise Data Architect joins the Northern Trust Asset Management business unit to define, document, and operate the overall data strategy. This role involves building a strategic data platform and designing data solutions on the Snowflake Data Warehouse on Azure. Key responsibilities include documenting data program roadmaps, designing database models like LDM and PDM, and managing data acquisition, provisioning, and distribution. The architect must evangelize data strategy to stakeholders, ensuring data quality, security, and AI consistency. Required technical expertise includes SQL, Python, Databricks, and Snowflake internals, alongside knowledge of relational, NoSQL, and dimensional database concepts like Data Vault and medallion architecture. The position requires applying domain-driven design and modern engineering practices to solve complex business problems within the investment management and asset management domains.

What you'll do

  • Define and document the overall data strategy, roadmap, and architecture patterns for the business unit.
  • Design data solutions using Snowflake Data Warehouse on Azure, including database models and data flows.
  • Build and maintain a strategic data platform using a data product mindset.
  • Develop and implement AI solutions, including ML, GenAI, and Agentic AI, within the asset management domain.
  • Manage data and AI governance, ensuring data quality, security, and consistency across cloud databases.
  • Prototype and enable business functions using SQL, Python, Snowflake, and Databricks.
  • Provide technical expertise on relational, NoSQL, dimensional, and Data Vault modeling architectures.
  • Lead teams through influence to implement modern engineering practices and domain-driven design.

What we're looking for

  • Expertise in designing data solutions on Snowflake Data Warehouse on Azure.
  • Experience as an AI Solution Architect (AI/ML/GenAI/Agentic AI) within the investment or asset management domain.
  • Expert level understanding of relational database concepts, dimensional database, data vault modeling, medallion architecture, and database architecture.
  • Deep understanding of relational and NoSQL data stores, methods, and approaches.
  • Experience designing and implementing database models (LDM & PDM), data flow diagrams, database schema, and DB scripts.
  • Proficiency in prototyping and federated business enablement using SQL, Python, Snowflake, and Databricks.
  • Experience with Data and AI Governance, including data quality, data security, and AI consistency on cloud databases.
  • Work Authorization.

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