Confluent Platform Architect

  • Mexico City, CDMX, Mexico
  • Contractor
  • Remote
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Job Description:

Role Summary

We are looking for an experienced Confluent Platform Architect with strong expertise in designing, implementing, and operating event-driven and real-time streaming architectures across cloud and self-hosted environments. The role requires deep hands-on knowledge of the Confluent ecosystem, scalability, security, and enterprise-grade operations.

Key Skills & Experience

1. Confluent & Kafka Ecosystem

  • Strong hands-on experience with Confluent Kafka and its ecosystem, including:
    • Kafka Connect
    • ksqlDB
    • Apache Flink
    • Schema Registry
    • Confluent Tableflow
  • Experience working with Confluent Cloud services.

2. Self-Hosted Confluent Platform Architecture

  • Experience designing and managing self-hosted Confluent Platform architectures.
  • Hands-on exposure to:
    • Kubernetes-based deployments
    • Manifest YAMLs and GitOps tools (ArgoCD)
    • Platform security (LDAP, mTLS . SASL)
    • High Availability (HA), scalability, and fault-tolerant setups.

3. CI/CD & Automation

  • Experience with Terraform and GitHub pipelines for CI/CD automation.
  • Familiarity with infrastructure-as-code and automated deployment strategies.

4. Programming & Custom Development

  • Good working knowledge of Python and Java.
  • Experience building and maintaining custom Kafka connectors or extensions is a strong plus.

5. Solution Design & Architecture

  • Proven experience in solution design for event-driven and real-time streaming use cases.
  • Ability to design systems that are:
    • Highly available
    • Scalable
    • Fault-tolerant
    • High-throughput

6. Observability & Monitoring

  • Experience with observability and monitoring stacks, including:
    • Splunk and Grafana dashboards
    • Azure Monitor
    • Log Analytics
    • OTEL (Open Telemetry )
    • Prometheus
  • Ability to define operational metrics, alerts, and monitoring strategies.

7. Azure Cloud Exposure

  • Good exposure to Azure cloud services, including:
    • Basic networking concepts
    • Azure Blob Storage
    • Azure Container Registry (ACR)
    • Azure Kubernetes Service (AKS)

Nice to Have

  • Experience working in enterprise-scale data platforms
  • Exposure to analytics engines (Snowflake, Databricks, etc.)
  • Strong documentation and stakeholder communication skills

Role Type

  • Architecture & hands-on technical leadership
  • Collaboration with platform, ML, and analytics teams