Senior Solutions Consultant - Open Data Platform

About the Role: We are looking for a Solutions Consultant to join our SNS team. As a Solutions Consultant, you will work with customers on short- to medium-term engagements to implement data observability needs using the Open Data Platform (ODP). In this role, you will leverage your expertise in Open-Source Foundation, big data systems, Kubernetes, and cloud-native systems to design and deliver MVPs, reference architectures, and demo applications for our customers. You will work closely with customer engineering teams and our internal teams to ensure successful migration, architecture and implementation, post-sales support and long-term adoption of the Acceldata ODP solution. Your ability to solve complex migration and deployment issues, optimise performance, and resolve product issues with solutions and workarounds will be critical to driving customer success. What We Look For Experience in successfully managing multiple B2B infrastructure software development projects, including driving expansion, customer satisfaction, migration, feature adoption, and retention. 10+ years of experience in customer engineering, data platforms & cloud technology projects that require integration to meet customer needs. 8+ years of experience in customer-facing product implementation. Comfortable writing code in either Java, Python or Scala. Design and deploy performant end-to-end data architectures, and solve complex migrations and deployments. Consult on design and architecture; implement strategic customer projects that lead to customers' successful understanding, evaluation, and adoption of Acceldata Data Observability Cloud. Good understanding of Data management concepts like Data Quality, Data Catalog and Data Governance. Hands-on experience with two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. You are a great fit for this role if you have Strong desire to tackle hard technical problems in K8s, Hadoop + cloud and proven ability to do so with little or no direct daily supervision. Experience operating Linux systems (configure, tune, and troubleshoot both Red Hat and Debian-based distributions). Has previously worked with the customer engineering team in providing high-level support for data operational issues. Excellent communication skills, with an ability to clearly and concisely explain tricky issues and complex solutions. Ability to quickly learn new technologies and willingness to support working in different time zones, and may be required to travel up to 50% of the time to meet with customers. Experience working with the customer engineering team and providing an escalated level of support for customer operational issues. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Implement data observability needs using the Open Data Platform and design MVPs, reference architectures, and demo applications. Work closely with customer engineering teams to ensure successful migration, architecture implementation, and long-term adoption of solutions.

Requires over 10 years of experience in customer engineering and data platforms, with at least 8 years in customer-facing product implementation. Candidates must be proficient in Java, Python, or Scala and have hands-on experience with major cloud ecosystems like AWS, Azure, or GCP.

Identified from the job description. Confirm important requirements above.

• Open Data Platform
• Data Observability
• Big Data Systems
• Kubernetes
• Cloud-native Systems
• Java
• Python
• Scala
• Data Architecture
• Data Quality
• Data Catalog
• Data Governance
• AWS
• Azure
• GCP
• Linux

• Software
• Data & Analytics
• Consulting
• Technology
• Engineering

Minimum experience

10+ years

Apply by

Aug 19, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Not Applicable

Application method

Direct apply is available