acceldata

acceldata

Senior Solutions Consultant - Hadoop/Data Platform

Kitchener · Senior

Sponsorship not specifiedCAD 150k-CAD 180kDetected 95 days ago
PythonJavaNode.jsPostgreSQLMySQLKubernetesLinuxKafkaSparkAirflowDNSFirewallCommunicationHadoop

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59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

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About the role

  • We are looking for a Senior Solutions Consultant with deep Hadoop knowledge and strong enterprise presence.
  • This is a hands-on role with a consultative position.
  • You are the person the customer relies on to get a secure, scalable platform right the first time.

Responsibilities

  • 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.
  • 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.
  • Implement enterprise security.

Requirements

  • 8+ years of experience in customer-facing product implementation, designing and deploying performant end-to-end data architectures, and solving complex migrations and deployments.
  • Deep architectural knowledge of the Apache Hadoop ecosystem (HDFS, YARN, MapReduce, Hive, ZooKeeper).
  • Practical experience with enterprise security: Kerberos (KDC), SSL/TLS, LDAP/AD and Apache Ranger.

Nice to have

  • Comfort operating within the platform's runtime stack (Java and Python) for configuration and troubleshooting.
  • 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.
  • Prior customer-facing / professional-services or consulting experience in enterprise environments.

Compensation

  • CAD 150k-CAD 180k

Company info

  • About the Role: We are looking for a Senior Solutions Consultant with deep Hadoop knowledge and strong enterprise presence.
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