Java with Big Data architect

Themesoft Inc.

Mississauga

On-site

CAD 110,000 - 130,000

Full time

14 days+

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Job summary

A leading IT consulting firm is looking for a Talent Acquisition Manager in Mississauga, Canada. The successful candidate will lead architectural design and oversee technical teams in building modern data platforms. Key skills include advanced Java with Spring Boot, Kubernetes, and Big Data technologies like Spark and Scala. The role offers a competitive salary range of CA$110,000.00 to CA$130,000.00 for a mid-senior level position, emphasizing hands-on development and problem-solving capabilities.

Qualifications

Master-level experience with Java Spring Boot framework.
Strong expertise with Kubernetes for deploying data platform components.
Extensive experience in handling Big Data with Spark and Scala.

Responsibilities

Create architectural designs based on product vision.
Guide development teams through the lifecycle.
Collaborate with quality assurance teams to improve design.

Skills

Java Spring Boot framework

Kubernetes

Spark

Scala

Kafka

Grafana

Analytical and problem-solving skills

Communication skills

Job description

Talent Acquisition Manager at Themesoft Inc.

Java with Big Data architect

Only fulltime

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.