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Enterprise Midstream Jobs (NOW HIRING)

WhiteWater Midstream

Technology Analyst

Austin, TX

Serve as primary support for assigned enterprise applications. * Perform daily administration ... Experience working in the energy, midstream, oil & gas, or utility industries. Benefits : This ...

WhiteWater Midstream

Technology Analyst

Austin, TX · On-site

Serve as primary support for assigned enterprise applications. * Perform daily administration ... Experience working in the energy, midstream, oil & gas, or utility industries. Benefits : This ...

ProSidian Consulting

Corrosion Engineer

Washington, DC · On-site +1

ProSidian provides enterprise services/solutions for Risk Management, Compliance, Business Process ... Midstream / Pipelines [DOE0071071] for Program Support on a Exempt 1099 Contract: No Overtime Pay ...

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Enterprise Midstream information

See salary details

$45K

$115.3K

$172.5K

How much do enterprise midstream jobs pay per year?

As of Aug 14, 2026, the average yearly pay for enterprise midstream in the United States is $115,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $135,500.00 per year, depending on experience, location, and employer.

What is an enterprise midstream?

Enterprise Midstream jobs are roles within companies that focus on the transportation, storage, and marketing of oil, natural gas, and other energy products. These positions are essential for moving resources from production sites to refineries and distribution centers. Common job titles in this sector include pipeline operator, logistics coordinator, and facilities engineer. Employees in midstream roles often ensure safety, regulatory compliance, and efficient operation of energy infrastructure. Enterprise Midstream companies play a key role in the energy supply chain, connecting producers with end users.

What are the key skills and qualifications needed to thrive as an enterprise midstream professional?

To thrive as an Enterprise Midstream professional, you need a solid understanding of pipeline operations, energy logistics, regulatory compliance, and typically a degree in engineering, business, or a related field. Familiarity with SCADA systems, GIS software, and industry certifications such as PMP or API credentials is often required. Strong analytical thinking, problem-solving skills, and effective communication are crucial soft skills for success. These competencies ensure safe, efficient, and compliant transportation of energy resources while optimizing operational performance.

What are some typical challenges enterprise midstream professionals face when managing large-scale pipeline projects?

Enterprise Midstream professionals often encounter challenges such as coordinating with multiple stakeholders—including engineering teams, regulatory agencies, and landowners—while ensuring projects stay on schedule and within budget. Navigating evolving environmental regulations and mitigating potential risks, such as safety concerns or supply chain disruptions, are also common. Success in this role requires strong project management skills, adaptability, and effective communication to balance operational efficiency with compliance requirements.

What is the difference between Enterprise Midstream vs Pipeline Operator?

AspectEnterprise MidstreamPipeline Operator
CredentialsEngineering, Geology, or related degrees; certifications varySimilar engineering or technical degrees; safety certifications often required
Work EnvironmentCorporate offices, field sites, and facilitiesField operations, pipeline maintenance, and monitoring
Employer & Industry UsageLarge energy companies managing midstream assetsUtility companies, pipeline companies, and energy firms

Enterprise Midstream professionals oversee the transportation, storage, and marketing of oil and gas, often working across multiple facilities and corporate offices. Pipeline Operators focus specifically on the operation, maintenance, and safety of pipelines in the field. While both roles require technical knowledge and safety certifications, Enterprise Midstream roles tend to be broader in scope, involving strategic planning and asset management, whereas Pipeline Operators are more hands-on with daily pipeline operations.

More about Enterprise Midstream jobs

What cities are hiring for Enterprise Midstream jobs?

Cities with the most Enterprise Midstream job openings:

What states have the most Enterprise Midstream jobs?

States with the most job openings for Enterprise Midstream jobs include:

What job categories do people searching Enterprise Midstream jobs look for?

The top searched job categories for Enterprise Midstream jobs are:

Enterprise Midstream jobs near you
Infographic showing various Enterprise Midstream job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $115,331 per year, or $55.4 per hour.

Strategic Enterprise Data Lakehouse Architect

CG Infinity

Sugar Land, TX • On-site

Other

Posted 8 days ago

Job description

Enterprise Data Architect Consultant

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:
    • 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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