The Role
Lead customer-facing implementations of the Open Data Platform, designing and delivering MVPs, reference architectures and demos. Work with customer engineering and internal teams to migrate, deploy, optimize performance, troubleshoot operational issues, and drive adoption of Acceldata Data Observability Cloud.
Summary Generated by Built In
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.
Skills Required
- Experience managing multiple B2B infrastructure software development projects including migration, feature adoption, retention, and customer satisfaction
- 10+ years in customer engineering, data platforms and cloud technology projects requiring integration
- 8+ years of customer-facing product implementation experience
- Proficiency writing code in Java, Python or Scala
- Design and deploy end-to-end performant data architectures and solve complex migrations and deployments
- Good understanding of data management concepts (Data Quality, Data Catalog, Data Governance)
- Hands-on experience with two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with Kubernetes and cloud-native systems
- Experience with Hadoop and big data systems
- Experience operating and troubleshooting Linux systems (Red Hat and Debian-based distributions)
- Strong communication skills and ability to explain complex technical solutions clearly
- Willingness to work across time zones and travel up to 50% to meet with customers
- Experience providing escalated support for customer data operational issues alongside customer engineering teams
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The Company
What We Do
Founded in 2018, Campbell, CA-based Acceldata has developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Acceldata's solutions have been embraced by global customers, such as Dun & Bradstreet, Verisk, Oracle, PubMatic, PhonePe (Walmart), and many more. Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, and Emergent Ventures. Contact us to learn about the benefits of data observability.
