Technical Consultant
Listed on 2026-03-28
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IT/Tech
Cloud Computing, Data Engineer
Denodo has been made aware of a job scam involving bad actors impersonating Denodo. The relevant authorities are investigating this situation. Denodo’s available job openings may be found here:
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As a Technical Consultant in our Customer Success organization, you will help guide clients through their data modernization journey using Data Virtualization. This role blends hands‑on technical problem‑solving, solution design, and customer engagement to enable our clients to extract maximum value from their data ecosystems.
You will work on impactful projects such as:
- Integrating distributed data sources for operational and analytical workloads
- Building Logical Data Warehouses and Virtual Data Marts
- Enabling Modern BI, Advanced Analytics, and AI/ML initiatives
- Modernizing hybrid and multi‑cloud data architectures
- Delivering agile operational reporting across complex enterprise landscapes
You will join a fast‑growing global software company and collaborate with major enterprises across Financial Services, Automotive, Insurance, Pharma, and other industries. We offer a strong technical career path, direct access to senior engineering and product teams, and opportunities to grow into advanced technical or customer‑facing roles.
Job Responsibilities & DutiesTo be successful in this role you will require a combination of high technical expertise, troubleshooting skills and client management skills to conduct on-site and off-site consulting, product implementation and technical problem-solving. In this position you will work directly with engineers: our own staff, our partners, and our customers.
Technical Leadership
- Develop deep expertise in the Denodo Platform and deliver high‑impact technical presentations
- Address customer questions related to architecture, integration, customization, and advanced features
- Lead or contribute to the design and implementation of solutions tailored to client requirements
- Stay up‑to‑date with modern data, cloud, containerization, and AI technologies
- Build trusted relationships at technical and business levels
- Provide hands‑on consulting, troubleshooting, and architecture guidance
- Manage expectations and serve as a reliable partner throughout the engagement lifecycle
- Promote best practices and ensure alignment with customer objectives
Delivery & Collaboration
- Work closely with customers, partners, engineering teams, and support organizations
- Escalate issues appropriately and coordinate with internal experts when needed
- Develop documentation, presentations, or training content to support project success
- Contribute feedback to Product Management, Engineering, and Customer Success teams
Information Security Responsibilities
- Understand and comply with Information Security policies and procedures
- Ensure all actions adhere to security best practices
- Report any real or suspected security incidents immediately
- Follow all guidelines within the Acceptable Use Policy
- 3–15 years of professional experience (exceptional graduates may be considered)
- Bachelor’s or master’s Degree in computer science, Information Systems, or related fields
- Strong SQL skills and understanding of relational and analytical database principles
- Knowledge of technologies such as JDBC, XML, REST APIs, and Web Services
- Solid understanding of modern data and integration architectures
- Strong analytical and troubleshooting skills
- High curiosity, creativity, and continuous‑learning mindset
- Positive attitude, teamwork orientation, and willingness to travel
We Value (Preferred / Nice to Have)
- Experience with version control tools (e.g., Git)
- Hands‑on experience with relational, No
SQL, or graph databases - Experience with cloud ecosystems (AWS, Azure, GCP) and dB Paas platforms (Snowflake, Mongo
DB Atlas, etc.) - Exposure to Artificial Intelligence / Machine Learning concepts, frameworks, or deployment workflows
- Experience with caching technologies and distributed system design
- Linux/UNIX and Windows server environment experience
- Background in ETL, Data Warehouse, BPM, CEP, or application integration
- Experience integrating with enterprise…
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