Cloud Architect - Kafka

1 day ago Be among the first 25 applicants

Location:
Woodlawn, MD (Onsite 5 days a week)

Note:
Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.

Key Required Skills: Confluent Kafka, Apache Flink, Kafka Connect, Python, Java and Spring Boot.

• Position Description: Lead and organize a team of Kafka administrators and developers, assign tasks, and facilitate weekly Kafka Technical Review meetings with the team.
• Work alongside customer to determine expanded use of Kafka within the Agency.
• Strategize within Client to set up opportunities to explore new technologies to use with Kafka.
• Architect, design, code, and implement next-generation data streaming and event-based architecture / platform on Confluent Kafka.
• Define strategy for streaming data to data warehouse, and integrating event-based architect with microservice based applications.
• Establish Kafka best practices and standards for implementing the Kafka platform based on identified use cases and required integration patterns.
• Mentor existing team members by imparting expert knowledge to build a high-performing team in our event-driven architecture. Assist developers in choosing correct patterns, event modelling and ensuring data integrity.
• Provide software expertise in one or more of these areas: application integration, enterprise services, service-oriented architectures (SOA), security, business process management/business rules processing, data ingestion/data modeling.
• Triage, investigate, advise in a hands-on capacity to resolve platform issues regardless of component.
• Brief management, customer, team, or vendors using written or oral skills at appropriate technical level for audience. Share up-to-date insights on the latest Kafka-based solutions, formulate creative approaches to address business challenges, present and host workshops with senior leaders and translate technical jargons into layman's language and vice-versa.
• All other duties as assigned or directed.
• Basic Qualifications: Bachelor's Degree in Computer Science, Mathematics, Engineering, or a related field with 12 years of relevant experience OR Master degree with 10 years of relevant experience. Additional years of experience may be substituted/accepted in lieu of degree.
• 12+ years of experience with modern software development including systems/application analysis and design.
• 7+ years of combined experience with Kafka (Confluent Kafka and/or Apache Kafka).
• 2+ years of combined experience with designing, architecting, and deploying to AWS cloud platform.
• 1+ years of leading a technical team.
• Must be able to obtain and maintain a Public Trust security clearance.

The selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.

Required Skills:

• These skills will help you succeed in this position: Expert experience with Confluent Kafka with hands-on production experience, capacity planning, installation, administration / platform management, and a deep understanding of the Kafka architecture and internals.
• Expert in Kafka cluster and application security.
• Strong knowledge of Event Driven Architecture (EDA)
• Expert Experience in data pipeline, data replication and/or performance optimization.
• Kafka installation & partitioning on Open Shift or Kubernetes, topic management, HA & SLA architecture.
• Strong knowledge and application of microservice design principles and best practices: distributed systems, bounded contexts, service-to-service integration patterns, resiliency, security, networking, and/or load balancing in large mission critical infrastructure.
• Expert experience with Kafka Connect, KStreams, and KSQL, with the ability to know how to use effectively for different use cases.
• Hands-on experience with scaling Kafka infrastructure including Broker, Connect, Zoo Keeper, Schema Registry, and/or Control Center.
• Hands-on experience in designing, writing, and operationalizing new Kafka Connectors.
• Solid experience with data serialization using Avro and JSON and data compression techniques.
• Experience with AWS services such as ECS, EKS, Flink, Amazon RDS for Postgre
  
  SQL, and/or S3.
• Basic knowledge of relational databases (Postgre
  
  SQL, DB2, or Oracle), SQL,…