Senior Solutions Consultant, acceldata

• We are looking for a Senior Solutions Consultant with deep knowledge of Enterprise Data & AI Platforms and a strong AI Fluency, Data Observability & Governance
• 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

Desirable

• 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
• 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