Java with Big Data architect

2 weeks ago

Mississauga, Ontario, Canada ExaTech Inc Full time

Java with Big Data architect

Only fulltime

Mississauga, Canada [Onsite]

Job Description:

Role Summary

We are seeking a highly skilled and experienced personnel to join our team. The successful candidate will be instrumental in designing, developing, and evolving our modern data platform with a strong emphasis on self-service capabilities, data management compliance, and robust governance. This role requires a hands-on individual who can translate product vision into high-level architectural designs and detailed technical solutions, while also providing technical leadership and guidance to development teams.

Key Responsibilities

  • Architectural Design:
    Understand the product vision and roadmap to create corresponding high-level architectural designs, and subsequently translate these into detailed solutions for specific features during EPIC grooming sessions.
  • Technical Leadership & Guidance:
    Guide development leads and engineers through the development lifecycle, ensuring adherence to architectural principles and best practices.
  • Quality Assurance Collaboration:
    Collaborate with functional and performance testing teams to define appropriate test strategies and scenarios. Review test results and insights to continuously improve design and code quality.
  • User Feedback Integration:
    Actively review feedback from users regarding new features or challenges, incorporating insights into future design iterations and improvements.
  • Hands-on Development & Troubleshooting:
    Serve as a fully hands-on Data Engineer, capable of diving into code to identify and resolve issues, bottlenecks, and performance challenges.
  • Resilient Solution Development:
    Design and build highly resilient, scalable, and observable modern data solutions that meet business requirements.

Required Skills and Experience

  • Programming & Frameworks:
    Master-level experience with Java Spring Boot framework.
  • Container Orchestration:
    Strong expertise with Kubernetes for deploying and managing data platform components.
  • Big Data Technologies:
    Extensive experience in handling Big Data with a strong background in Spark and Scala.
  • Streaming Platforms:
    Proficient in Kafka and streaming technologies, including advanced features such as schema registry and data quality implementation.
  • Observability:
    Hands-on experience with observability stacks, particularly Grafana, for monitoring and gaining insights into data platform performance.
  • Solution Design:
    Proven ability to design and implement highly resilient and scalable modern data solutions.
  • Problem Solving:
    Excellent analytical and problem-solving skills, with a keen eye for identifying and rectifying technical issues.
  • Communication:
    Strong communication skills, capable of articulating complex technical concepts to both technical and non-technical stakeholders.

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