Java with Big Data architectConnvertex Technologies Inc. • Mississauga, ON, Canada

Java with Big Data architect

Connvertex Technologies Inc. • Mississauga, ON, Canada

7 days ago

Job type

Full-time

Quick Apply

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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Data Architect • Mississauga, ON, Canada

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