

Kafka Flink Lead Consultant
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Kafka Flink Lead Consultant in Bolingbrook, IL, lasting 6+ months at an onsite rate. Key skills include Confluent Kafka, KSQL DB, Flink, Terraform, GCP networking, and Agile/DevOps experience.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 19, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Bolingbrook, IL
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π§ - Skills detailed
#Automation #Presto #Security #DevOps #Data Governance #Cloud #Compliance #Kafka (Apache Kafka) #Observability #GCP (Google Cloud Platform) #Monitoring #Agile #Logging #Disaster Recovery #Terraform #Firewalls
Role description
Job Title: Kafka Flink Lead
Location: Bolingbrook, IL (Onsite role - 3 days biweekly, first preference is local candidate)
Duration: 6+ Month
Mandatory skill: Confluent Kafka, Advanced Knowledge of KSQL DB and Flink
Job Description:
β’ Extensive experience architecting, implementing, and administering Confluent Cloud Kafka platform in production environments.
β’ Advanced knowledge of KSQL DB and Flink for real-time stream processing/analytics.
β’ Proven proficiency in Kafka Connectorsβfrom configuration to end-to-end integration in cloud environments.
β’ Strong background in platform governance: schema registry, RBAC, audit logging, retention, and compliance.
β’ Deep expertise with Terraform and the Confluent Terraform provider; Infrastructure-as-Code methodology and automation.
β’ Practical experience designing and managing Harness CI/CD pipelines or other similar tools.
β’ Advanced knowledge of GCP networking, including Private Service Connect (PSC), DNS, Firewalls and enterprise security.
β’ Track record in implementing cloud-native monitoring and observability solutions; troubleshooting, performance tuning, and incident response.
β’ Thorough experience with Disaster Recovery (DR), High Availability (HA) strategies, backup/restore, and multi-region design.
β’ Practical experience with cost optimization, resource monitoring, and right-sizing in Confluent Cloud.
β’ Strong abilities in schema management, version compatibility, and data governance.
β’ Demonstrated capability in capacity planning, partitioning, and scaling streaming architectures.
β’ Experienced in Agile/DevOps methodologies.
β’ Experience providing hands-on production support for mission-critical streaming platforms.
Experience in working with an offshore/on-site model. The position requires gathering requirements on-site, creating detailed design documents and coordinating with offshore for the development/delivery.
Job Title: Kafka Flink Lead
Location: Bolingbrook, IL (Onsite role - 3 days biweekly, first preference is local candidate)
Duration: 6+ Month
Mandatory skill: Confluent Kafka, Advanced Knowledge of KSQL DB and Flink
Job Description:
β’ Extensive experience architecting, implementing, and administering Confluent Cloud Kafka platform in production environments.
β’ Advanced knowledge of KSQL DB and Flink for real-time stream processing/analytics.
β’ Proven proficiency in Kafka Connectorsβfrom configuration to end-to-end integration in cloud environments.
β’ Strong background in platform governance: schema registry, RBAC, audit logging, retention, and compliance.
β’ Deep expertise with Terraform and the Confluent Terraform provider; Infrastructure-as-Code methodology and automation.
β’ Practical experience designing and managing Harness CI/CD pipelines or other similar tools.
β’ Advanced knowledge of GCP networking, including Private Service Connect (PSC), DNS, Firewalls and enterprise security.
β’ Track record in implementing cloud-native monitoring and observability solutions; troubleshooting, performance tuning, and incident response.
β’ Thorough experience with Disaster Recovery (DR), High Availability (HA) strategies, backup/restore, and multi-region design.
β’ Practical experience with cost optimization, resource monitoring, and right-sizing in Confluent Cloud.
β’ Strong abilities in schema management, version compatibility, and data governance.
β’ Demonstrated capability in capacity planning, partitioning, and scaling streaming architectures.
β’ Experienced in Agile/DevOps methodologies.
β’ Experience providing hands-on production support for mission-critical streaming platforms.
Experience in working with an offshore/on-site model. The position requires gathering requirements on-site, creating detailed design documents and coordinating with offshore for the development/delivery.