Senior Data Platform Engineer

This role is central to building the core of our data platform. You will design, develop, and operate the foundational features and frameworks that enable our data teams to build and deploy data products with speed and confidence. Instead of focusing on individual data pipelines, your mission will be to create scalable, self-service capabilities that accelerate the entire data development lifecycle.

• →Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing.
• →Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools.
• →Engineer self-service features that empower data engineers and analysts to manage their own data assets efficiently.
• →Focus on improving the Data Developer Experience (DataDevEx) for anyone interacting with the data platform.
• →Implement and enforce data modeling standards and best practices through automated tools and platform features.
• →Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness.
• →Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD.
• →Act as a key contributor to the platform's roadmap, identifying and prioritizing features that unlock the most value for its users.

Must haves: 

• Strong software engineering fundamentals, with experience in a language like Pythonor Java.
• Experience building reusable frameworks, libraries, or internal tools.
• Experience with modern cloud database technologies such as Snowflakeand Redshift.
• Deep knowledge of SQLand data integration patterns.
• Knowledge of AWS Services like S3, Glue, Lambda, DMS, and RDS.
• Familiarity with Data concepts and data modeling techniques (Inmon, Kimball, Data Vault).
• Excellent verbal and writing English communication skills