Senior Platform Engineer – Data Store (DWH + CMS + APIs)

Description

Position at Ness Digital Engineering

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.

Core Skills & Experience

• 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.

Nice to Have

• 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 (CMS + APIs + DWH).