Data Integration Platform Specialist-Kafka

Key Responsibilities:

Data Integration Platform Management & Strategy:

Administer configure and optimize the integration platform.

Contribute to the strategic roadmap and evolution of our data integration platform

landscape evaluating new technologies and features.

Ensure the platforms security compliance and adherence to enterprise

architectural standards.

Platform Operations & Optimization:

Monitor platform performance identify bottlenecks and implement solutions for

continuous optimization and scalability.

Manage platform capacity planning.

Apply a strong DevOps mindset to platform operations actively contributing to

the automation of deployment monitoring and management tasks (e.g. CI/CD

pipelines Jenkins GitLab).

Operational excellence:

Act as a technical advisor providing guidance and mentorship to support

and delivery teams aiding in deep-dive analysis and troubleshooting for

complex integrations running on the integration platform ensuring high

availability and optimal performance.

Adhere rigorously to company-wide ITIL processes (incident change problem

management) within a 24/7 support window specifically for platform-related

incidents.

Architecture Documentation & Standards:

Collaborate closely with data architects and other specialists to define evolve

and enforce data integration platform patterns security standards and best

practices.

Create and maintain comprehensive high-quality documentation for platform

configurations operational runbooks and architectural designs.

Technical Guidance & Best Practices:

Provide technical expertise and guidance to data integration developers on

leveraging platform capabilities effectively and adhering to best practices for

optimal performance and reliability.

Drive adherence to technical best practices coding standards and performance

optimization techniques within the platforms usage.

Process Improvement & Innovation:

Proactively identify and champion opportunities to optimize platform-related

processes improve efficiency and enhance data quality through automation

standardization and the adoption of new tools and technologies within the

platform ecosystem.

Risk & Issue Management:

Proactively identify analyze and escalate complex technical risks and issues

related to platform stability security and performance.

Contribute significantly to the development and implementation of robust

mitigation strategies.

Quality Assurance & Testing Strategy:

Develop and execute comprehensive testing strategies for platform capabilities

upgrades and new feature deployments ensuring stability performance and

adherence to operational requirements.

Technical Expertise & Thought Leadership:

Stay abreast of and evaluate the latest trends emerging technologies and best

practices in data integration platforms ETL/ELT tools data streaming

technologies and cloud data services.

Apply relevant innovations to platform strategy and share knowledge with the

broader team.

Qualifications:

Bachelors or Masters degree in Computer Science Information Systems or a related

technical field.

8 years of hands-on experience in the administration optimization and support of

complex enterprise-grade data integration platforms with a major expertise in Kafka.

Proven expertise in managing configuring and troubleshooting highly scalable and

performant data integration platforms.

Good understanding and extensive hands-on experience with administering and

optimizing the following integration and ETL tools: OIC Kong Fivetran Boomi Workato

or willing to master these platforms as well.

Exceptional analytical problem-solving and debugging abilities with a meticulous eye

for detail and a strong focus on platform stability and data integrity.

Excellent communication collaboration and interpersonal skills with the ability to

influence technical discussions and work effectively across diverse teams.

Ability to manage and prioritize multiple complex technical initiatives in a fast-paced

dynamic environment.

Actively participate in a 24/7 support rotation schedule to ensure continuous

operational coverage.

Preferred Skills:

Strong understanding and practical experience with DevOps principles and practices in a

data platform context

Experience with data governance data quality frameworks and metadata management

specifically as it relates to platform capabilities.

Experience with performance monitoring and logging tools for data platforms.

Fluent in English

What We Offer:

• A challenging and rewarding opportunity to be a key technical contributor within a global

data engineering team focusing on critical platform infrastructure.

• The chance to work with cutting-edge technologies and contribute to impactful large-

scale data projects.

• A dynamic collaborative and innovation-driven work environment.
• Significant opportunities for professional growth continuous learning and specialization

in data platform technologies.

• Competitive salary and benefits package.

WHATS IN IT FOR YOU

-A family atmosphere people-centric culture where your emotional and physical well-being matters.

-A company of great colleagues with a global mindset where you feel welcomed from day one.

-A competitive salary medical insurance for family retirement benefits

-Flexible working hours and a healthy work life balance

- Hybrid work schedule

- internalcareeropportunities professional development including access to LinkedIn Learning and many in-house/external training courses

PEOPLE ARE AT OUR HEART

TVH is a global business with a family atmosphere where people are at the center. We value clarity mutual respect kindness and open communication. Our people are down-to-earth easy to work and engage with. We welcome differences and celebrate new ideas.

ABOUT TVH

TVH is a parts specialist for quality parts and accessories for material handling industrial vehicles and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.