Hands-on implementation experience with distributed data platforms, hybrid infrastructure and data observability tools, and the ability to deliver customer deployments independently across ODP, xDP and ADOC
Good understanding of data observability, data quality, pipeline monitoring, data reliability, metadata management and data governance
Kubernetes experience, with the ability to solve hard problems with little daily supervision
Hands-on programming in Python, Java or Scala, plus shell scripting and Practical experience with enterprise security: Kerberos, SSL/TLS, LDAP/AD and Apache Ranger.
- Excellent communication skills: able to explain hard trade-offs to engineers and senior stakeholders, and to drive complex work with little supervision
- Strongly Preferred (Great Foundation)
- Prior FDE, professional-services or consulting experience in enterprise settings.
Familiarity with several of Spark, Kafka, NiFi, Trino, Ozone and MLflow, rather than all
Experience delivering into regulated, secured or air-gapped environments.
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 managing Cloudera (CDH/CDP) or Hortonworks (HDP) distributions - this maps to an excellent foundation for the role.
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.
