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Internship Enterprise Data Management Jobs in Spring, TX

IS3 Solutions

Senior Enterprise Data Architect

Houston, TX · On-site

$64.25 - $86/hr

Responsibilities : • Define and maintain the enterprise data architecture strategy including data models, integration frameworks, governance standards, and data lifecycle management in support of ...

Crescent Energy Co.

Data Governance Manager

Houston, TX · On-site

$120 - $190/hr

With deep understanding of upstream oil and gas data domains and enterprise data management practices, this role will play a critical part in accelerating the company's journey toward becoming a data ...

Crescent Energy

Data Governance Manager

Houston, TX · On-site

Enterprise Data Management * Lead the enterprise Master Data Management strategy and execution across key business domains including wells, assets, facilities, production, land, finance, vendors, and ...

Munich Re

Data and AI Enterprise Architect

Conroe, TX · On-site

Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities. * Design and guide datacentric and AIenabled initiatives , supporting the ...

Crescent Energy

Data Governance Manager

Houston, TX · On-site

Lead the enterprise Master Data Management strategy and execution across key business domains including wells, assets, facilities, production, land, finance, vendors, and employees. * Establish ...

Novocure

Data Architect

Houston, TX · On-site

$54 - $69.50/hr

Define and drive Novocure's enterprise data architecture strategy and roadmap * Design scalable, secure, and governed data solutions across SAP S/4HANA, Veeva CRM, Veeva Vault, MDM, ODS, and other ...

Doggett

Data Warehouse Architect

Houston, TX · On-site

Participate in enterprise architecture decisions involving data management and warehousing. * Monitor warehouse performance and recommend improvements. * Design strategies for partitioning, indexing ...

Doggett Industries

Data Warehouse Architect

Houston, TX · On-site

Participate in enterprise architecture decisions involving data management and warehousing. * Monitor warehouse performance and recommend improvements. * Design strategies for partitioning, indexing ...

Argyle Infotech

Enterprise Data Specialist

Houston, TX · On-site

Enterprise Data Specialist The Enterprise Data Specialist will be responsible for designing ... Bachelor's degree in Computer Information Science, Information Management, Statistics, or a related ...

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Internship Enterprise Data Management information

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How much do internship enterprise data management jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for internship enterprise data management in Spring, TX is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.83 per hour, depending on experience, location, and employer.

What is the difference between Internship Enterprise Data Management vs Internship Data Analyst?

AspectInternship Enterprise Data ManagementInternship Data Analyst
FocusManaging and organizing enterprise-wide data systemsAnalyzing data to generate insights and reports
SkillsData governance, database management, system integrationData analysis, visualization, statistical tools
Work EnvironmentIT departments, data management teamsBusiness units, analytics teams
CertificationsSQL, data management certifications often preferredExcel, statistical analysis certifications

Internship Enterprise Data Management focuses on organizing and maintaining large-scale data systems within organizations, while Internship Data Analyst emphasizes analyzing data to support business decisions. Both roles require strong technical skills, but their daily tasks and objectives differ significantly.

Are enterprise data management internships paid?

Enterprise data management internships are often paid, but compensation varies by company and location. Many organizations offer stipends or hourly wages to attract interns, especially in competitive markets, and some may be unpaid depending on the program structure. Interns typically gain experience with data tools and management practices during their internship period.

What does an internship enterprise data management do?

An internship in enterprise data management involves supporting the organization, integration, and maintenance of company data systems. Interns typically assist with data cleaning, data analysis, and implementing data governance practices using tools like SQL, Excel, or data management software. The role provides hands-on experience in managing large datasets and understanding data workflows within a business environment.

What does internship enterprise data management do?

An internship in enterprise data management involves assisting with the organization, storage, and maintenance of company data to ensure accuracy, security, and accessibility. Interns may work with data tools, databases, and data governance processes to support business operations and decision-making.

What are the most commonly searched types of Enterprise Data Management jobs in Spring, TX?

The most popular types of Enterprise Data Management jobs in Spring, TX are:

What are popular job titles related to Internship Enterprise Data Management jobs in Spring, TX?

For Internship Enterprise Data Management jobs in Spring, TX, the most frequently searched job titles are:

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The top searched job categories for Internship Enterprise Data Management jobs in Spring, TX are:

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Internship Enterprise Data Management jobs near you

Enterprise Data Architect Consultant

CG Infinity

Houston, TX • On-site

Full-time

Posted 16 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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