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KPMG US · 2 hours ago

Data Architect (Director)

Dallas, TX

Full-time

Onsite

Director/Executive

15+ years exp

KPMG is a leading provider of audit, tax, and advisory services, known for its commitment to individual development and an inclusive environment. The Data Architect (Director) will define and own the data architecture vision for KPMG's generative AI products, leading the design of a secure data ecosystem and collaborating with leadership to influence business strategy.

Financial Services

H1B Sponsor Likely

Responsibilities

Define and own the end-to-end data architecture vision and strategic roadmap for KPMG's generative AI products

Lead the architectural design of a highly scalable and secure data ecosystem, governing how structured transactional data and unstructured knowledge are ingested, processed, and engineered for context

Serve as the chief authority on data architecture, collaborating with senior product, engineering, and audit leadership to influence business strategy and ensure solutions are built on a sound architectural foundation

Architect and oversee the design and development of data and context engineering capabilities, making critical design decisions that enable seamless integration into AI agent workflows

Establish and enforce enterprise-wide data governance, quality standards, and validation frameworks to guarantee the integrity, security, and reliability of all data underpinning our AI solutions

Drive the future of audit technology by leading architectural innovation, championing the evaluation and adoption of next-generation data platforms, knowledge graphs, and advanced data fabrics

Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualification

Data architectureCloud-native ecosystemsData governanceData engineeringAI/ML applicationsLeadership skillsCommunication skills

Required

Minimum fifteen years of recent experience in data architecture, data engineering, or a similar field, with a proven track record of architecting and delivering large-scale data solutions for enterprise systems

Bachelor's degree from an accredited college or university; master's degree from an accredited college or university in Computer Science, Engineering, or a related technical discipline is preferred

Expertise in architecting cloud-native data ecosystems leveraging platforms like Databricks and Microsoft Fabric, with deep knowledge of designing solutions that incorporate RAG and vector search (e.g., Azure AI Search)

In-depth understanding of architectural patterns for processing and modeling both structured transactional data (across a range of ERP systems) and unstructured information for transactional processing and AI/ML applications

Demonstrated experience defining architectural principles, data governance policies, and technology standards within a large-scale, regulated, and Agile (SDLC) environment

Exceptional communication and leadership skills, with the ability to articulate a strategic technical vision, influence executive-level stakeholders, and guide solutioning for complex business problems

Preferred

master's degree from an accredited college or university in Computer Science, Engineering, or a related technical discipline

Benefits

Medical and dental plans

Vision coverage

Disability and life insurance

401(k) plans

Robust suite of personal well-being benefits to support your mental health

Personal Time Off per fiscal year

Calendar of holidays to be observed during the year

Two breaks each year where employees will not be required to use Personal Time Off

Company

KPMG US

Glassdoor3.6

KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States.

Founded in 1987

New York, NY, US

10001+ employees

http://www.kpmg.com/US

H1B Sponsorship

KPMG US has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (370)

2024 (441)

2023 (388)

2022 (564)

2021 (592)

2020 (781)