Shulman Fleming & Partners · 1 month ago
Data Platform Engineer
Shulman Fleming & Partners is seeking a highly skilled Data Platform Engineer to design, build, and operate their enterprise event-streaming platform using Red Hat AMQ Streams (Kafka on OpenShift). The role involves ensuring a reliable and scalable streaming ecosystem while collaborating with application teams to implement event-driven integration patterns.
Staffing & Recruiting
Responsibilities
Design, deploy, and operate AMQ Streams (Kafka) clusters on Red Hat OpenShift
Configure and manage Kafka components including brokers, Kraft, MirrorMaker 2
Explore Kafka Connect, and Schema Registry concepts and implementations
Ensure performance, reliability, scalability, and high availability of the Kafka platform
Implement cluster monitoring, logging, and alerting using enterprise observability tools
Manage capacity planning, partition strategies, retention policies, and performance tuning
Define and document standardized event-driven integration patterns, including:
Event sourcing
CQRS
Pub/sub messaging
Change data capture
Stream processing & enrichment
Request-reply over Kafka
Guide application teams on using appropriate patterns that align with enterprise architecture
Establish best practices for schema design, topic governance, data contracts, and message lifecycle management
Implement enterprise-grade security for Kafka, including RBAC, TLS, ACLs, and authentication/authorization integration. (SSO and OAuth)
Maintain governance for topic creation, schema evolution, retention policies, and naming standards
Ensure adherence to compliance, auditing, and data protection requirements (Encryption at Rest and flight)
Provide platform guidance and troubleshooting expertise to development and integration teams
Partner with architects, SREs, and developers to drive adoption of event-driven architecture
Create documentation, runbooks, and internal knowledge-sharing materials
Develop CI/CD pipelines in GitLab, enabling automated builds, infrastructure updates, and configuration promotion across environments
Maintain Infrastructure-as-Code (IaC) repositories and templates for Kafka resources
Qualification
Required
Bachelor's degree in computer science, Engineering, or a related field
Proven experience with Kafka administration and management
Strong knowledge of OpenShift and container orchestration
Proficiency in scripting languages such as Python or Bash
Experience with monitoring and logging tools (e.g., Splunk, Prometheus, Grafana)
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills
Preferred
Experience with Red Hat OpenShift administration
Knowledge of service mesh patterns (Istio, OpenShift Service Mesh)
Familiarity with stream processing frameworks (Kafka Streams, ksqlDB, Flink)
Experience using observability stacks (Prometheus, Grafana)
Background working in regulated or enterprise-scale environments
Knowledge of DevOps practices and tools (e.g., ArgoCD, Ansible, Terraform)
Knowledge of SRE Monitoring and logging tools (e.g., Splunk, Prometheus, Grafana)