- 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.