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Senior Solutions Consultant - xLake Platform at Acceldata

Position Senior Solutions Consultant - xLake Platform
Posted 02 Aug 2026
Expired 01 Sep 2026
Company Acceldata
Location London | GB
Job Type Full Time

Job Description:

Latest job information from Acceldata for the position of Senior Solutions Consultant - xLake Platform. If the Senior Solutions Consultant - xLake Platform vacancy in London matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Acceldata for the position of Senior Solutions Consultant - xLake Platform below matches your qualifications.

About the Role: We are looking for a Senior Solutions Consultant with deep Hadoop knowledge and strong enterprise presence.
You'll be the principal technical owner of xLake Platform (xLake Overview) deployments - responsible not just for standing up the platform, but for guiding a customer's infrastructure, security and database teams to the right architectural decisions, and for making those decisions stick in environments where security and change control are non-negotiable.

This is a hands-on role with a consultative position. You'll be equal parts architect, engineer and trusted advisor: designing the target-state cluster, executing the build, and translating hard technical trade-offs into terms a customer's stakeholders can act on. You are the person the customer relies on to get a secure, scalable platform right the first time.

  • Own cluster architecture and deployment. Lead end-to-end deployment of Acceldata ODP managed via Apache Ambari. Define cluster topology - master, slave and client node placement - sized to the customer's workload and infrastructure.
  • Prepare and harden infrastructure. Advise on and execute OS-level prerequisites on RHEL or Ubuntu: password-less SSH, DNS/NTP, firewall iptables rules, SELinux and PackageKit handling, and system tuning such as umask and open file descriptors.
  • Deliver secure and air-gapped deployments. Design and implement installations inside firewalled and air-gapped data centres using local mirror repositories or trusted HTTP proxy servers, working within the customer's change-control and compliance constraints.
  • Integrate backend databases. Provision and configure operational databases (Oracle, PostgreSQL, or MySQL/MariaDB), including schemas, users and JDBC drivers for core services - Ambari, Hive, Spark, Ranger and Schema Registry.
  • Extend the ecosystem via mpacks. Install, configure and troubleshoot components through Ambari Management Packs - Spark, Kafka, Flink, NiFi, Ozone, Airflow, Trino, ClickHouse, JupyterHub and MLflow.
  • Implement enterprise security. Stand up cluster security end-to-end: Kerberos integration, Apache Ranger authorization policies, SSL/TLS certificate management, LDAP/AD integration, and secure credential handling (e.g. obfuscating LDAP bind passwords via the Ambari Credential Store / JCEKS).
  • Advise and enable the customer. Run working sessions with the customer's infrastructure, security and DBA teams; document target-state architecture and handover runbooks; and coordinate with Acceldata engineering and account teams to unblock issues and drive long-term adoption.
  • 8+ years of experience in customer-facing product implementation, designing and deploying performant end-to-end data architectures, and solving complex migrations and deployments.
  • Comfortable writing code in either Java, Python or Scala.
  • 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.
  • Deep architectural knowledge of the Apache Hadoop ecosystem (HDFS, YARN, MapReduce, Hive, ZooKeeper).
  • Strong Linux system administration on RHEL and/or Ubuntu, with a real command of network configuration, firewall rules and system tuning.
  • Practical experience with enterprise security: Kerberos (KDC), SSL/TLS, LDAP/AD and Apache Ranger.
  • Comfort operating within the platform's runtime stack (Java and Python) for configuration and troubleshooting.
  • Excellent communication skills - able to explain hard technical trade-offs clearly to both engineers and senior stakeholders - and the autonomy to drive complex work with little supervision.
  • Extensive experience managing Cloudera (CDH/CDP) or Hortonworks (HDP) distributions - this maps to an excellent foundation for the role.
  • Familiarity with several of the mpack components above (Spark, Kafka, NiFi, Trino, Ozone, MLflow, etc.) rather than all.
  • Experience delivering into regulated, secured or air-gapped environments.
  • Strong desire to tackle hard technical problems in Kubernetes; proven ability to do so with little or no direct daily supervision.
  • 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.
  • Prior customer-facing / professional-services or consulting experience in enterprise environments.

You’ll work on genuinely hard problems for some of the most demanding data organisations in the world, with the autonomy to own an engagement end-to-end and the visibility that comes with being the customer's principal technical partner. If you enjoy the moment a complex, secured cluster comes up clean, and the customer's team trusts what you've built - this is that job.

Acceldata has been named to Forbes' America's Best Startup Employers for two consecutive years, recognised on CRN's Big Data 100 for data observability and DataOps, and named a Leader in Everest Group's Data Observability PEAK Matrix.

Above all, Acceldata has a people-first culture; you get full ownership of real, high-impact problems from day one.

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Job Info:

  • Company: Acceldata
  • Position: Senior Solutions Consultant - xLake Platform
  • Work Location: London
  • Country: GB

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Senior Solutions Consultant - xLake Platform at the office London above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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