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Enterprise Data Architects Jobs (NOW HIRING)

Prolim Global

Senior Data Architects

Lansing, MI · On-site

$68.25 - $91.25/hr

Required Skills (Must haves): 1. Minimum 5 years experience in leading Data Architects and working with Enterprise Architects to develop Data Landscape, Data Strategy, Data Architectural approaches ...

PROLIM Global Corporation

Senior Data Architects

Lansing, MI · On-site

$68.25 - $91.25/hr

... Enterprise Architects to develop Data Landscape, Data Strategy, Data Architectural approaches using any industry standard Architecture framework such as TOGAF 9, FEAF, DODAF etc. to align data ...

Socket.dev

NY · On-site

Summary The Enterprise Data Manager & Architect is responsible for defining, governing, and optimizing how WellDyne identifies, structures, secures, and manages data across transactional, operational ...

Koniag Services, Inc.

Collaborate with data architects, analytics engineers, business owners, and platform teams to align ... enterprise data architecture, data governance, data management, or information management.

Hinshaw & Culbertson

Enterprise Data Architect

Chicago, IL · On-site +1

$140K - $180K/yr

The Enterprise Data Architect is a hands-on technical leader responsible for designing, building, operating, and governing the firm's enterprise data platform. The role owns the enterprise data ...

OU Medical Center

Enterprise Data Architect

Enterprise Data Architect Department: ETS Analytics and AI Data This position may be performed ... Coordinate with project managers and other architects to deliver integrated solutions. General ...

OU Health

Enterprise Data Architect

Enterprise Data Architect Department: ETS Analytics and AI Data This position may be performed ... Coordinate with project managers and other architects to deliver integrated solutions. General ...

OU Health

Enterprise Data Architect

Enterprise Data Architect Department: ETS Analytics and AI Data This position may be performed ... Coordinate with project managers and other architects to deliver integrated solutions. General ...

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Enterprise Data Architects information

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How much do enterprise data architects jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for enterprise data architects in the United States is $71.92, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $82.45 per hour, depending on experience, location, and employer.

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For Enterprise Data Architects jobs, the most frequently searched job titles are:

Enterprise Data Architect Consultant

Houston, TX • On-site

CG Infinity
IT Services • 201 - 500 employees
Learn more about CG Infinityexternal

Full-time

Re-posted 5 days ago

Job description

Enterprise Data Architect Consultant
Position Summary
CG Infinity is seeking a strategic and hands-on Enterprise Data Architect to design, build, and lead the implementation of a scalable, enterprise-wide data Lakehouse. This role will be responsible for developing a modern data architecture from the ground up, integrating multiple systems and business units into a unified data ecosystem that drives analytics, reporting, and business decision-making.
The ideal candidate combines deep technical expertise with strong business acumen, capable of leading discovery efforts, defining priorities, and ensuring data solutions are aligned with organizational goals. This individual will also play a key leadership role in establishing data governance, master data management (MDM), and enterprise data standards.
Key Responsibilities
Enterprise Data Architecture & Strategy
  • Design and implement a scalable, secure, and high-performance enterprise data Lakehouse from inception.
  • Define the end-to-end data architecture, including data ingestion, transformation, storage, integration, and consumption layers.
  • Establish architectural standards, frameworks, and best practices aligned with business and technology strategies.
  • Evaluate and recommend technologies (cloud platforms, ETL/ELT tools, data lakes, Lakehouses) to support long-term scalability.
Cross-Functional Discovery & Requirements Alignment
  • Lead discovery sessions with business and technical stakeholders to identify high-value use cases, priorities, and dependencies.
  • Translate business requirements into technical data models, data flows, and architecture designs.
  • Ensure alignment between data solutions and business objectives, including KPIs, reporting, and analytics needs.
  • Develop and maintain a data roadmap with clearly defined phases, milestones, and deliverables.
Data Lakehouse Development & Delivery
  • Oversee development of integrated data pipelines that connect disparate systems (ERP, CRM, operational systems, third-party platforms).
  • Define and implement data models (conceptual, logical, physical) to support analytics and reporting.
  • Establish data quality frameworks and ensure reliability, consistency, and integrity of enterprise data.
  • Ensure performance optimization and scalability of the data environment.
Data Governance & Master Data Management
  • Develop and implement enterprise data governance policies, standards, and controls.
  • Lead Master Data Management (MDM) initiatives to standardize key business entities across systems.
  • Define data ownership, stewardship, and accountability models across business units.
  • Ensure compliance with regulatory, security, and data privacy requirements.
Leadership & Stakeholder Engagement
  • Act as a trusted advisor to executive leadership, including the CTO and business leaders.
  • Communicate complex technical concepts clearly to non-technical stakeholders.
  • Lead cross-functional teams, including data engineers, analysts, and business users.
  • Drive adoption of data solutions across the organization through change management and stakeholder alignment.

Required Qualifications
  • 8+ years of experience in data architecture, data engineering, or enterprise data management roles.
  • Proven experience building an enterprise data Lakehouse from scratch spanning multiple systems and business units.
  • Strong experience with data modeling, ETL/ELT design, and data integration frameworks.
  • Hands-on experience with cloud data platforms (e.g., Azure, AWS, or GCP).
  • Demonstrated expertise in:
    • Python Development
    • Data Governance frameworks
    • Master Data Management (MDM)
    • Data quality and metadata management
  • Experience leading discovery sessions and requirements gathering workshops with senior stakeholders.
  • Strong understanding of enterprise systems (ERP, CRM, operational apps) and integration patterns.
  • Excellent communication, facilitation, and leadership skills.

Preferred Qualifications
  • Experience in consulting environments or multi-client, multi-business unit organizations.
  • Industry experience in oil & gas or chemical sectors, with an understanding of upstream, midstream, downstream, or refining operations.
  • Familiarity with modern data tools (e.g., Snowflake, Databricks, Azure Synapse, Power BI, Tableau).
  • Experience implementing data lakes, Lakehouse architectures, or hybrid data ecosystems.
  • Knowledge of Agile and iterative delivery methodologies.
  • Relevant certifications (e.g., Azure Data Architect, AWS Data Analytics, DAMA CDMP).

Success Metrics
  • Successful delivery of a fully operational enterprise data Lakehouse aligned with business priorities.
  • Measurable improvement in data accessibility, quality, and reporting capabilities.
  • Adoption of data governance and MDM practices across business units.
  • Delivery of a clear project roadmap with defined milestones, timelines, and outcomes.
  • Positive stakeholder feedback on alignment between business needs and technical solutions.

 

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