Data Architect

JOB SUMMARY

JOB DESCRIPTION

Enterprise Data Architecture

• Design and maintain the firm’s enterprise data architecture, including data models, data flows, and integrations across systems such as ERP, CRM, HR, Audit, Tax and reporting platforms

• Define and implement data standards, reference architectures, and best practices that ensure consistency, performance, and scalability across the firm’s data ecosystem

• Partner with technology teams and business leaders to develop a firmwide data strategy that supports analytics, operational efficiency, and innovation

• Partner with Integration and Operations teams to evaluate and implement modern data platforms, integration tools, and metadata management solutions to support cloud-based and hybrid architectures

Data Governance

• Lead the development and execution of the firm’s Enterprise Data Governance Program, focused on data lifecycle management, improving data ownership, quality, and accountability across client, engagement, and employee domains

• Define and maintain data stewardship roles, governance policies, and data management standards

• Maintain detailed documentation of data sources, methodologies, and analysis processes

• Develop and maintain Master Data definitions. Build consensus among system owners to define systems of record

• Develop processes for data quality, cleansing, metadata management, and master data management (MDM)

• Establish and enforce data quality standards, conducting comprehensive quality checks to ensure data accuracy

• Investigate and resolve data discrepancies, errors, and issues

Collaboration & Enablement

• Partner with business and functional leaders to align data initiatives with strategic firm priorities and client service goals

• Promote a data-driven culture through education, advocacy, and collaboration across departments

• Guide source systems Data Stewards on data standards and maintenance of data dictionary

• Act as a key advisor on AI readiness, helping business units identify where governed, high-quality data can accelerate insight, automation, and innovation

Technical Execution & Delivery

• Participate in data collection efforts, gathering and aggregating data from diverse sources, databases, and systems

• Ensure data accuracy, integrity, and consistency through meticulous data cleaning and validation processes

• Support data mapping and data transformation efforts, translating target system data requirements into mapping and transformation specifications

• Collaborate with the Development & Integrations team on the design and refinement of data warehouse architecture

Success Measures

In the first 12–18 months, success in this role will be measured by:

• Data Ownership: Clear definition and adoption of data ownership and stewardship roles across business units.

• Governance Framework: Establishment of a firmwide data governance framework with supporting policies, standards, and accountability structures.

• Data Quality & Cleansing: Implementation of data quality and cleansing initiatives that measurably improve data accuracy, completeness, and consistency.

• Reduction in Data Duplication: Consolidation and rationalization of redundant data sources through enhanced integration and MDM processes.

• AI Enablement Readiness: Foundational data architecture and governance structures in place to support AI and advanced analytics use cases.

• Stakeholder Engagement: Broad adoption of governance practices and collaboration across IT and business functions.

Supervisory responsibilities

• None

Work environment

• Work is conducted in a professional office environment with minimal distractions

Physical demands

• Prolonged periods of sitting at a desk and performing work in front of a computer screen for long periods of time

• Must be able to lift to 15 pounds at a time

Travel required

• Travel may be frequent and unpredictable, depending on client’s needs

Required education and experience

• Bachelor’s degree in computer science, data science, information systems, data management, or related field

• 8+ years of progressive experience in data architecture, data management, or enterprise data strategy roles

• Demonstrated experience leading data governance or master data management programs, ideally in professional services organizations

• Strong understanding of ERP, CRM, HR systems and reporting platforms commonly used in professional services firms

• Proven experience in execution of data-oriented initiatives, such as creating or improving Master Data Management functions

• Proficiency in data modeling techniques and related tools

Other duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the colleague for this job. Duties, responsibilities and activities may change at any time with or without notice.

WHO WE ARE

UHY is one of the nation’s largest professional services firms providing audit, tax, consulting and advisory services to clients primarily in the dynamic middle market. We are trailblazers who bring our experience from working within numerous industries to our clients so that we can provide them with a 360-degree view of their businesses. Together with our clients, UHY works collaboratively to develop flexible, innovative solutions that meet our clients’ business challenges. As an independent member of UHY International, we are proud to be a part of a top 20 international network of independent accounting and consulting firms.

WHAT WE OFFER

POSITIVE WORK ENVIRONMENT

Enjoy a collaborative and supportive work environment where teamwork is valued.

ATTRACTIVE COMPENSATION PACKAGES

Our compensation is competitive and tailored to reflect the role, qualifications, and expertise of each individual.

COMPREHENSIVE BENEFIT PACKAGE

Access comprehensive benefits including group health insurance, dental and vision coverage, 401(k) retirement plans, and generous paid time off (PTO) allowances.