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Oracle Enterprise Data Quality Jobs (NOW HIRING)

Snowrelic Inc

Oracle Data Lead

San Antonio, TX · On-site

Lead the data governance strategy and execution for the Oracle ERP Cloud implementation, ensuring quality, consistency, and compliance across enterprise data sets. * Manage the end-to-end data ...

Interon IT Solutions

Oracle EDMCS Consultant

Chantilly, VA · On-site

$65 - $82/hr

#W2 Role We are looking for an experienced Oracle EDMCS Consultant to support enterprise data ... data quality rules. • Manage imports, exports, mappings, subscriptions, and integrations with ...

Infojini Inc

Oracle ERP

Las Vegas, NV

Experience with Oracle ERP Cloud data conversion Experience with Oracle ERP Cloud Security Technical skills in the creation of BI Publisher Reports; FRS (financial reporting studio) Reports and OTBI ...

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Oracle Enterprise Data Quality information

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How much do oracle enterprise data quality jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for oracle enterprise data quality in the United States is $56.63, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $66.11 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Oracle Enterprise Data Quality specialist, and why are they important?

To thrive as an Oracle Enterprise Data Quality specialist, you need a solid understanding of data management principles, data quality frameworks, and experience with Oracle EDQ solutions, often supported by a degree in computer science or information systems. Expertise in Oracle Enterprise Data Quality (EDQ) software, SQL, data integration tools, and relevant certifications such as Oracle Certified Implementation Specialist are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help in translating business requirements into technical solutions and collaborating with stakeholders. These capabilities ensure accurate, reliable data, driving informed decision-making and successful data governance initiatives within organizations.

What are some common challenges faced by professionals working with Oracle Enterprise Data Quality (EDQ) and how can they be addressed?

One common challenge in an Oracle EDQ role is managing the complexity of integrating data from multiple sources while ensuring data accuracy and consistency across the organization. Additionally, keeping up with evolving data governance standards and meeting business stakeholders' requirements can be demanding. To address these challenges, professionals often collaborate closely with data architects, business analysts, and IT teams, leveraging best practices in data profiling, cleansing, and matching. Continuous learning through Oracle documentation and active participation in user communities can also help professionals stay updated on new features and troubleshooting techniques.

What is the difference between Oracle Enterprise Data Quality vs Data Analyst?

AspectOracle Enterprise Data QualityData Analyst
Primary FocusData quality management, cleansing, and validation using Oracle toolsData interpretation, reporting, and analysis to support business decisions
Required SkillsData profiling, data cleansing, Oracle database knowledge, ETL processesData analysis, SQL, Excel, visualization tools, business acumen
CertificationsOracle certifications, data management certificationsData analysis certifications (e.g., Microsoft, Tableau)
Work EnvironmentData management teams, IT departments, enterprise environmentsBusiness units, analytics teams, consulting firms

Oracle Enterprise Data Quality specialists focus on maintaining data accuracy and integrity within Oracle systems, while Data Analysts interpret and analyze data to inform business strategies. Both roles require strong technical skills but serve different purposes in data management and analysis.

What is Oracle Enterprise Data Quality?

Oracle Enterprise Data Quality (EDQ) is a comprehensive data quality management tool that helps organizations assess, improve, and maintain the quality of their data. It provides features for profiling, cleansing, matching, and monitoring data across various sources. EDQ is commonly used to ensure that business-critical information is accurate, consistent, and reliable, supporting better decision-making and regulatory compliance. The platform integrates with other Oracle and non-Oracle systems, making it suitable for large-scale enterprise environments.
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Oracle Enterprise Data Quality jobs near you
Infographic showing various Oracle Enterprise Data Quality job openings in the United States as of June 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $117,787 per year, or $56.6 per hour.
Oracle Data Lead

Oracle Data Lead

Snowrelic Inc

San Antonio, TX • On-site

Contractor

Posted 12 days ago

Job description

We are seeking an experienced Oracle ERP Data Lead to join a high-impact, multi-year enterprise transformation program for a leading utility provider. This role is critical to the success of migrating from a legacy SAP ERP platform to the latest Oracle Fusion Cloud ERP SaaS-based environment. As the Data Governance Lead, you will own and drive data strategy, governance frameworks, and the orchestration of enterprise data migration, ensuring data integrity, consistency, and compliance with business and regulatory standards. 

You will be part of a cross-functional ERP transformation team responsible for aligning business needs with technology outcomes, specifically leading data migration and governance initiatives to support Oracle Cloud ERP and analytical reporting platforms. 

Key Responsibilities 

  • Lead the data governance strategy and execution for the Oracle ERP Cloud implementation, ensuring quality, consistency, and compliance across enterprise data sets. 

  • Manage the end-to-end data lifecycle, including data mapping, cleansing, migration, validation, and reconciliation from SAP to Oracle Fusion Cloud ERP. 

  • Collaborate with business and technical stakeholders to define data ownership, stewardship, classification, and quality metrics. 

  • Oversee the data conversion team, ensuring the accuracy, completeness, and timeliness of all data activities across functional workstreams (Finance, Supply Chain, Projects, HR, etc.). 

  • Partner with Business Intelligence teams to support post-migration analytical reporting and data modeling requirements. 

  • Ensure governance across master and transactional data domains including GL, AP, AR, FA, SCM, Projects, and HRMS. 

  • Develop and enforce data quality standards, data dictionaries, business glossaries, and metadata management processes. 

  • Work closely with System Integrators, internal IT, and business teams to design and execute the data migration cutover strategy and mock runs. 

  • Identify data-related risks and establish controls to mitigate them through audits and reconciliation procedures. 

  • Report on data quality KPIs, progress of data readiness, and migration milestones to project leadership. 
     

Required Qualifications 

  • 10–12 years of total experience, with at least 5+ years of experience as a Data Governance or Data Lead on large-scale Oracle ERP or cloud migration projects. 

  • Proven experience in data migration from SAP or other legacy systems to Oracle Fusion Cloud. 

  • Deep understanding of data governance frameworks, MDM (Master Data Management), and data quality principles. 

  • Strong experience working with data migration tools, ETL processes, and data cleansing methodologies. 

  • Familiarity with Oracle reporting and analytics platforms (e.g., OTBI, BI Publisher, Oracle Analytics Cloud). 

  • Experience in the utilities industry (electric, water, gas, et al). 

  • Exceptional communication, leadership, and stakeholder management skills. 

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline; advanced degree preferred.