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Contract Denodo Developer Jobs (NOW HIRING)

Genius Road

Manager, Data Management #3291

Dallas, TX · Hybrid

Manager, Data Management Contract Position: 12 months + potential extension Location: Dallas, TX ... Experience with data virtualization platforms such as Denodo is preferred * Knowledge of ETL/ELT ...

Fitch Solutions

Director, MDM Integrations

Manhattan, NY · On-site +1

Applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q) * Strong Python ... Starburst, Denodo) * Experience operating in a product-led environment, where technical solutions ...

Fitch Group

Director, MDM Integrations

Manhattan, NY · On-site

Applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q) * Strong Python ... Starburst, Denodo) * Experience operating in a product-led environment, where technical solutions ...

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How much do contract denodo developer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for contract denodo developer in the United States is $98,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $119,500.00 per year, depending on experience, location, and employer.

What is the difference between Contract Denodo Developer vs Data Integration Specialist?

AspectContract Denodo DeveloperData Integration Specialist
Required CredentialsDenodo certifications, SQL, data modelingETL tools certifications, SQL, data warehousing
Work EnvironmentData virtualization projects, cloud/on-premisesData pipelines, ETL/ELT processes
Employer & IndustryIT consulting, finance, healthcareBusiness intelligence, analytics, enterprise IT

The Contract Denodo Developer primarily focuses on implementing data virtualization solutions using Denodo, while a Data Integration Specialist handles broader data pipeline and ETL processes. Both roles require SQL and data management skills, but the Denodo Developer specializes in virtualization platforms, making their work more focused on data access and integration through Denodo technology.

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Contract Denodo Developer jobs near you

Manager, Data Management #3291

Dallas, TX • Hybrid

Genius Road
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Genius Roadexternal

Contractor

Re-posted 18 days ago

Key responsibilities

  • Manage enterprise data management functions supporting ODS, Historical Data Stores, and Data Lake initiatives

  • Establish and enforce data governance policies, architecture standards, metadata practices, data lineage, and compliance requirements

  • Lead, mentor, and develop a cross-functional data team while supporting the implementation of modern Data Lake/Lakehouse platforms and migration efforts

Job description

Manager, Data Management
Contract Position: 12 months + potential extension
Location: Dallas, TX (Local candidates only - Hybrid schedule)
We are seeking an experienced Manager, Data Management to lead a cross-functional team responsible for enterprise data architecture, governance, and modernization initiatives. This role will oversee Operational Data Stores (ODS), Historical Data Stores, and the evolution to modern Data Lake/Lakehouse platforms while ensuring reliable, secure, and scalable data solutions. The ideal candidate combines strong leadership capabilities with expertise in data management, governance, MDM, and enterprise data transformation.
Requirements
  • 10+ years of experience in data management, data architecture, data governance, or related disciplines
  • 7+ years of leadership experience managing cross-functional teams including Data Architects, Data Analysts, Business Analysts, Logical DBAs, Project Managers, and MDM professionals
  • Strong experience managing enterprise database platforms supporting operational and analytical environments
  • Proven experience implementing Master Data Management (MDM) programs and enterprise data governance initiatives
  • Knowledge of data management, data integration, and MDM tools; experience with Ab Initio is a plus
  • Experience building high-performing teams, managing capacity planning, workload balancing, and resource allocation
  • Experience delivering enterprise data modernization, migration, and cloud transformation initiatives
  • Strong understanding of data quality, metadata management, data lineage, retention policies, and compliance requirements
  • Experience with modern data platforms such as Databricks, Snowflake, Azure Synapse, or similar technologies
  • Familiarity with Data Lake/Lakehouse architectures, including Medallion Architecture concepts
  • Experience with data virtualization platforms such as Denodo is preferred
  • Knowledge of ETL/ELT processes, data ingestion, streaming technologies (Kafka, Spark Streaming), and distributed data architectures
  • Experience working within DevOps, DataOps, or agile delivery environments
  • Excellent communication, stakeholder management, leadership, and problem-solving skills

Responsibilities
  • Lead, mentor, and develop a cross-functional data team while fostering accountability, collaboration, and continuous improvement
  • Manage enterprise data management functions supporting ODS, Historical Data Stores, and Data Lake initiatives
  • Establish and enforce data governance policies, architecture standards, metadata practices, data lineage, and compliance requirements
  • Drive improvements in data quality, availability, and MDM capabilities across enterprise platforms
  • Support Data Architects by removing blockers, establishing standards, and promoting consistent architecture practices
  • Partner with technology, enterprise architecture, engineering, and business leaders to align data strategy with organizational priorities
  • Support implementation of modern Data Lake/Lakehouse platforms and migration from legacy environments while maintaining governance and architecture continuity
  • Manage delivery timelines, resources, risks, and stakeholder communications across concurrent data initiatives

Genius Road, LLC is proud to be a Certified Women’s Business Enterprise, an Equal Opportunity Employer and values diversity. All employment is decided on the basis of qualifications, merit and business need.