Senior Platform Engineer Data Store
- Ness Digital
- 10 - 15 years
- Bengaluru
- 4 months ago
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Job Description
Description
Senior Platform Engineer Data Store (DWH + CMS + APIs) Experience : 10+ Years
Location : Offshore
Employment Type : Full-Time
Location : Offshore
Employment Type : Full-Time
About the Role
We are hiring a Senior Platform Engineer to lead the design and implementation of a unified Platform Data Store comprising data warehouse systems , content management , and API services . This role demands deep experience in backend engineering, data access patterns, and scalable platform design using tools like Snowflake , Databricks , Strapi , and Spring Boot with Java SDK 21 .
Key Responsibilities - Design and implement data ingestion and API layers integrating with Snowflake and Databricks for large-scale analytics and warehousing.
- Build and extend Strapi-based headless CMS for managing dynamic content modules.
- Develop RESTful backend services using Java SDK 21 and Spring Boot , exposing APIs for data and CMS interaction.
- Optimize database queries and storage models for performance, scalability, and reliability.
- Design robust data access layers and secure API endpoints for multi-tenant environments.
- Ensure proper integration between CMS, data warehouse, and API layers through well-defined contracts and schema definitions.
- Collaborate with data engineers, DevOps, and product teams to align platform features with business and operational goals.
- Apply best practices around schema evolution, metadata management, versioning, and access control.
- 10+ years of software development experience with strong backend architecture and design expertise.
- Proficient in Spring Boot with Java SDK 21 and RESTful service design.
- Experience with Snowflake or Databricks for data warehousing, ETL/ELT patterns, and SQL tuning.
- Solid experience with Strapi or similar headless CMS platforms .
- Hands-on experience integrating CMS with external APIs and data sources.
- Strong understanding of data modeling , ORM , and scalable storage patterns.
- Knowledge of API authentication, RBAC, and secure data access mechanisms.
- Experience with GraphQL , Apache Airflow , or other data orchestration tools.
- Exposure to event-driven systems and messaging platforms (e. g. , Kafka).
- Familiarity with containerized deployments (Docker/Kubernetes).
- Previous experience working on multi-layered platform infrastructure
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: Ness DigitalLocation(s): Bengaluru+ View Contact
Keyskills: Content management metadata Backend Data modeling SQL Tuning Schema CMS SDK Apache Analytics
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