🕒 yesterday
Drive technical pre-sales for Cloudera’s CDP platform, partnering with sales teams and customers to uncover needs, design solutions, demonstrate value, and support successful deployments.
Senior Solutions Consultant - xLake: Data & AI Platform
📅 May 20
Apache HadoopHDFSYARNMapreduce
📜 Description
- Lead xLake cluster architecture and deployments, sizing topology to customer workloads and infrastructure.
- Prepare and harden Linux infrastructure, including network configuration, system prerequisites, and tuning.
- Design secure and air-gapped installations that meet customer change-control and compliance constraints.
- Configure operational databases and install, configure, and troubleshoot platform components and integrations.
- Implement cluster security, including Kerberos, Ranger policies, certificates, LDAP/AD, and credential handling.
- Advise customer teams, document architecture and handover runbooks, and coordinate with internal teams to resolve issues and support adoption.
🛠️ Requirements
- 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.
Full job description
About the Role: We are looking for a Senior Solutions Consultant with deep knowledge of Enterprise Data & AI Platforms and a strong AI Fluency, Data Observability & Governance.
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.
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.What we look for:
Must-Have Qualifications
Strongly Preferred (Great Foundation)
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