Job Description

Job Description

Job Description

We are looking for a Solutions Consultant to join our Solutions and Services team. As a Solutions Consultant, you will work with customers on short to medium term engagements to implement data observability needs using our Open Data Platform.

In this role, you will leverage your expertise in Hadoop, 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, implementation, post-sales support, and long-term adoption of the Acceldata ODP solution. Your ability to solve complex migration and deployment issues, optimize performance, and resolve product issues with solutions and workarounds will be critical to driving customer success.

• 12+ 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.
• Experience in successfully managing multiple B2B infrastructure software development projects, including driving expansion, customer satisfaction, migration, feature adoption, and retention.
• Comfortable writing code in either 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.

• Strong desire to tackle hard technical problems in Hadoop + cloud and proven ability to do so with little or no direct daily supervision.
• Previously worked with the customer engineering team to provide high-level support for data operational issues.
• Experience operating Linux systems (configure, tune, and troubleshoot both Red Hat and Debian-based distributions).
• 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

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