Senior Denodo Data Engineer

Responsibilities

Lead the design and architecture of data virtualization solutions using the Denodo Platform.

Define best practices for data modeling, data governance, metadata management, and security within Denodo.

Collaborate with business stakeholders, data engineers, and BI teams to understand requirements and design scalable, high-performing data solutions.

Establish data caching, query optimization, and performance tuning strategies for Denodo environments.

Provide technical leadership on Denodo deployment, configuration, upgrades, and troubleshooting.

Work closely with enterprise architects to align data virtualization strategy with overall enterprise data architecture.

Mentor junior team members and provide training / guidance on Denodo best practices.

Create and maintain technical documentation for architecture, design, and operational procedures.

Qualifications & Skills

Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.

8+ years of experience in data architecture, data integration, or BI roles.

8+ years of hands-on experience with Denodo Platform (including VDP, Scheduler, Solution Manager, Data Catalog).

Strong knowledge of SQL, data modeling, data virtualization, and API-based integration.

Experience with cloud platforms (Azure Data Services “ADF”, Synapse, Databricks) and hybrid data architectures.

Hands on experience with ETL / ELT tools, data lakes, data warehouses, and BI / reporting tools.

Expertise in performance tuning, caching strategies, and query optimization.

Strong understanding of data governance, metadata management, and security practices.

Excellent problem-solving, communication, and leadership skills.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting

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