Data Platform Engineer

Project Role : Data Platform Engineer

Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

Must have skills : Data Architecture Principles

Good to have skills : Databricks Unified Data Analytics Platform
Minimum 7.5 year(s) of experience is required

Educational Qualification : 15 years full time education

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 continuous engagement with multiple stakeholders to align 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 identify and implement improvements in data platform architecture to enhance performance and scalability.

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

Coordinate cross-functional initiatives to ensure alignment of data strategies with overall business goals.

Professional Technical Skills:

Must To Have Skills:

Proficiency in Data Architecture Principles.

Good To Have Skills: Experience with Databricks Unified Data Analytics Platform.

Strong understanding of data modeling concepts and best practices for scalable data solutions.

Experience in designing and implementing data integration strategies across diverse systems.

Familiarity with cloud-based data platforms and their architectural considerations.

Ability to analyze complex data flows and optimize data pipelines for efficiency and reliability.

The candidate should have minimum 7.5 years of experience in Data Architecture Principles.

This position is based at our BDC6F - SEZ office.

A 15 years full time education is required.

Qualification 15 years full time education