Data Platform Engineer
Full Time
full-time
8 Nov 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
85 / 100
Offer value
High demand for data platform skill sets ensures strong career prospects and relevance in the evolving job market.
- Strong growth opportunities in the data field.
- Collaboration with diverse teams enhances skill breadth.
- High market relevance for data specialists.
Pros
- High relevance in the data and AI industry.
- Opportunities for collaboration with various teams and roles.
- Development of in-demand skills in data architecture and integration.
Cons
- High experience requirements could limit candidacy.
- Fast-paced work environment may lead to stress.
- Requires adaptation to ever-evolving data technologies.
Who it's for
Senior Level • On-site
Good fit
- Data professionals with extensive architecture experience.
- Candidates eager to work with modern data technologies.
- Collaborative individuals who thrive on team projects.
Not recommended for
- Beginners in data engineering or architecture.
- Professionals averse to collaborative work environments.
- Individuals preferring isolated roles.
Motivation fit
Aiming to advance in data management and analytics.Interest in collaborative team settings for innovation.Desire to work on cutting-edge data solutions.
Key skills
Data ModelingETL ProcessesData Integration TechniquesCollaboration and Team Leadership
Score: 85/100 AI verified analysis
About the job
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 Warehouse ETL Testing
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. 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. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. - Strong understanding of data integration processes and tools. - Experience with data warehousing concepts and practices. - Familiarity with ETL processes and data pipeline development. - Ability to work with various database management systems. Additional Information: - The candidate should have minimum 12 years of experience in Data Modeling Techniques and Methodologies. - This position is based at our Bengaluru office."
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 Warehouse ETL Testing
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. 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. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. - Strong understanding of data integration processes and tools. - Experience with data warehousing concepts and practices. - Familiarity with ETL processes and data pipeline development. - Ability to work with various database management systems. Additional Information: - The candidate should have minimum 12 years of experience in Data Modeling Techniques and Methodologies. - This position is based at our Bengaluru office."
