Senior Solutions Consultant – Open Data Platform

Acceldata; California (MO); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Job summary

Acceldata is seeking a Solutions Consultant to join our SNS team. You will work with customers on short- to medium-term engagements to implement data observability needs using the Open Data Platform (ODP).

You will design and deliver MVPs, reference architectures, and demo applications for customers, collaborating with customer engineering and internal teams to drive migration, architecture, and adoption of Acceldata ODP.

Qualifications

• 10+ years in customer engineering & data platforms
• 8+ years in customer-facing product implementations
• Experience in B2B infrastructure software projects and migrations
• Able to write code in Java, Python or Scala
• Strong communication and cross-functional collaboration skills
• Experience with two or more cloud ecosystems (AWS/Azure/GCP)

Responsibilities

• Collaborate with customers to implement data observability on the Open Data Platform
• Design MVPs, reference architectures, and demo apps for deployment
• Lead migrations and deployments with long-term adoption in mind
• Provide post-sales support and ensure successful customer outcomes
• Advise on data management topics like data quality, catalog, and governance
• Coordinate with customer engineering and internal teams across time zones

Skills

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Data observability

Java/Python/Scala

Data Quality & Governance

Migration & deployment

Customer engineering

Technical communication

Tools

Open Data Platform (ODP)

Linux (Red Hat / Debian)

Big data systems

Job description

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.