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Senior Confluent Kafka & Flink Streaming Architect
Apolis
- 🇺🇸 United States
- On-site
- Senior
- 11 hours ago
- $60 – $62 / hour
- Confluent
- Flink
- ETL
- Event-Driven Architecture
- AWS
- GCP
- SQL
- Kafka Connect
- Apache Avro
- JSON
- Protocol Buffers
- Microservices
- Kafka Streams
- Java
- Spring Boot
- EKS
- Terraform
- GitOps
- CI/CD
- Jenkins
- VPC
- RBAC
- ACLS
- SSL
- Prometheus
- Grafana
- CloudWatch
- Splunk
- Incident Response
- Apache Kafka
- Python
- Docker
- Kubernetes
- GKE
- OpenShift
- Kinesis
- EMR
- PySpark
- Snowflake
- BigQuery
- PostgreSQL
- Oracle
- DB2
- IAM
- Pub/Sub
11 hours ago
Onsite in Columbus, OH
Experience: 12+ years overall (8+ years for Senior Engineer level); 5+ years in event streaming
About the Role:
We are looking for a Senior Streaming Architect / Engineer to design, build, and run our enterprise real-time data platform on Confluent Cloud and Apache Flink. You will lead the move from legacy batch and ETL workloads to a cloud-native, event-driven architecture on AWS and GCP. You will set technical direction, mentor engineers, and work with business and executive stakeholders.
Key Responsibilities:
• Architect multi-region, highly available Confluent Cloud environments with DR strategies (Cluster Linking, cross-region replication) supporting 200K+ events/sec.
• Design and build real-time pipelines in Apache Flink (DataStream, Table, and SQL APIs): event-time processing, watermarks, late-event handling, windowed aggregations (tumbling, hopping, session), and stream joins.
• Implement stateful, fault-tolerant processing with checkpointing, savepoints, and exactly-once semantics; tune parallelism, state backends, and operator chaining.
• Build and manage Kafka Connect source/sink connectors (CDC, RDBMS, S3, analytics platforms) with SMTs and DLQ/retry patterns.
• Own schema governance through Schema Registry (Avro/JSON/Protobuf) and compatibility rules.
• Develop event-driven microservices and Kafka Streams / ksqlDB applications using Java and Spring Boot.
• Lead migrations of on-prem middleware and Confluent Platform workloads to Confluent Cloud and AWS (EKS) with zero-downtime cutover.
• Automate infrastructure with Terraform (Confluent, AWS, GCP providers) and GitOps CI/CD (Harness, Jenkins).
• Implement secure connectivity (Private Service Connect, VPC, PrivateLink), RBAC, ACLs, SSL/SASL, and audit logging.
• Set up observability (Prometheus, Grafana, CloudWatch, Splunk); lead incident response, RCA, and performance tuning.
• Optimize partitioning, retention, and capacity to reduce infrastructure cost.
• Lead and mentor Kafka/Flink engineers, run training sessions, and communicate architecture trade-offs to leadership.
Required Qualifications
• 12+ years in software, integration, or data engineering, with 5+ years hands-on with Apache Kafka / Confluent in production.
• Strong hands-on experience with Apache Flink (DataStream API and Flink SQL), including state management and checkpoint tuning.
• Deep Kafka knowledge: partitioning, replication/ISR, retention, compaction, Kafka Connect, Kafka Streams, ksqlDB.
• Experience running Confluent Cloud in an enterprise setting on AWS and/or GCP.
• Advanced Java (11+) and Spring Boot; proficiency in Python and SQL.
• Experience with Terraform, Docker, and Kubernetes (EKS / GKE / OpenShift).
• Experience with CI/CD tools (Jenkins, Harness) and monitoring stacks (Prometheus, Grafana, Splunk).
• Proven cloud migration experience, from assessment and planning through cutover.
• Strong communication skills and experience with stakeholders in regulated industries.
Preferred Qualifications:
• Confluent Certified Developer / Administrator for Apache Kafka; Confluent Certified Data Streaming Engineer (Flink).
• AWS Solutions Architect certification.
• Experience with Amazon MSK, Managed Service for Apache Flink, Kinesis, EMR, Glue, and MWAA.
• PySpark experience for batch and streaming ETL.
• Familiarity with Snowflake, BigQuery, PostgreSQL, Oracle, and DB2 as sources or sinks.
• Experience with CDC patterns and legacy integration platforms (IBM MQ, IIB, mainframe).
• Domain background in healthcare, insurance, banking/finance, or retail.
Tools & Technologies:
Confluent Cloud, Apache Kafka, Apache Flink, ksqlDB, Kafka Streams, Kafka Connect, Schema Registry, AWS (EKS, MSK, S3, IAM, VPC), GCP (GKE, Pub/Sub, PSC), Terraform, Kubernetes, Docker, Jenkins, Harness, Java / Spring Boot, Python, PySpark, Prometheus, Grafana, Splunk.
• Must-have: Confluent Kafka production experience and hands-on Apache Flink (not just Kafka Streams).
• Ask about: Flink checkpointing/savepoints, watermarks and late events, exactly-once guarantees, Cluster Linking DR design.
• Strong signal: Confluent Cloud migration from on-prem, Terraform-based provisioning, and Confluent certifications.
• Profile titles to search: Kafka Architect, Confluent Architect, Streaming Data Engineer, Flink Engineer, Event Streaming Solution Architect.
Senior Confluent Kafka & Flink Streaming Architect · Apolis