Senior Enterprise Data Architect

PNC

Quick summary

Work type
On-site
Location
Pittsburgh, PAPhoenix, AZLakewood, COStrongsville, OHFarmers Branch, TX
Salary
$80,000–$185,150 / yr
Posted
4 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $190k
This role $133k
$63k most similar roles pay here $242k

This role pays less than 90% of similar roles. Most pay $156,732–$224,097 — the shaded band above. At the midpoint, this role pays about $133k versus about $190k for comparable roles.

Based on 239 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 183 open roles on FindRole.

Listed pay typically runs $86,250–$172,500 across 72 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Senior Enterprise Data Architect

As an Enterprise Architect Sr at PNC’s Enterprise Technology Architecture team, you will collaborate with key data and technology stakeholders to build out the enterprise data architecture practice. Your day-to-day responsibilities include developing strategies that guide business and technology leaders in meeting data technology needs, creating reference architectures for data consumption standards, and identifying complex data definitions and inconsistencies. You will also lead the development of data modeling standards and ensure compliance with data architecture policies. This role requires hands-on expertise in TOGAF-oriented practices, experience with large strategic transformation programs, and familiarity with operational and analytical data platforms. Key skills include enterprise systems thinking, strategic planning, and strong communication abilities. The position operates within a financial services organization that leverages AI and cloud technologies, focusing on regulatory compliance and data governance.

What you'll do

  • Develop data architecture models and standards ensuring observability, interchangeability, integrity, confidentiality, and availability.
  • Create strategies that guide business and technology leaders in meeting data technology needs.
  • Lead the development of data modeling standards, best practices, and guidelines for operational reporting and analytics.
  • Oversee metadata management to ensure consistency across enterprise data taxonomies and ontologies.
  • Establish and govern enterprise standards for ontology modeling and naming conventions.

What we're looking for

  • TOGAF certification or equivalent enterprise architecture experience
  • Experience in large, complex enterprise environments
  • Hands-on experience executing Data Architecture within a TOGAF framework
  • Strong understanding of baseline/target architecture and transition planning
  • Ability to translate business needs into data architecture outcomes
  • Proven ability to influence decisions without direct authority
  • Familiarity with operational and analytical data platforms

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