Data Platform Engineer

Summary:

As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design, ensuring that all relevant components are effectively incorporated. This role requires close collaboration with Integration Architects and Data Architects to maintain seamless integration between various systems and data models. The position demands active engagement in aligning platform capabilities with organizational needs, fostering a cohesive and efficient data environment that supports business objectives and technological advancements.

Roles & Responsibilities:

- Expected to be an SME, collaborate and manage the team to perform.

- Responsible for team decisions.

- Engage with multiple teams and contribute on key decisions.

- Provide solutions to problems for their immediate team and across multiple teams.

- Lead efforts to optimize data platform performance and scalability.

- Facilitate knowledge sharing and mentorship within the team to support professional growth.

- Coordinate cross-functional initiatives to ensure alignment of data platform strategies with organizational goals.

Professional & Technical Skills:

Must To Have Skills:

Good To Have Skills:

- Strong understanding of container orchestration and management within cloud environments.

- Experience in designing and implementing scalable data platform architectures.

- Familiarity with integration techniques and data modeling principles.

- Ability to troubleshoot and resolve complex platform-related issues efficiently.

Additional Information:

- The candidate should have minimum 7.5 years of experience in Red Hat OpenShift.