Senior Full Stack Engineer – Data Platforms

Senior Full Stack Engineer – Data Platforms

Experience: 9+ years

WHAT YOU WILL DO

●Design and build full stack applications for data platforms and tooling, including configuration UIs, monitoring dashboards, and self-service portals

●Develop responsive, component-based front ends in React with TypeScript, including state management, forms, data grids, and visualizations

●Build backend services and APIs in Node.js and Python (FastAPI, Express, or similar), with sound API design, authentication and authorization, and clean service boundaries

●Build reusable, configuration-driven frameworks and libraries rather than one-off code, with plugin-style extensibility

●Develop data integration components that move data from databases, files, and APIs into cloud warehouses and data lakes, including full and incremental loads

●Integrate applications with workflow orchestration tools such as Apache Airflow or Dagster

●Design relational data models and work extensively with PostgreSQL and at least one cloud data warehouse (Snowflake, Redshift, Databricks, or similar)

●Deploy and operate applications on AWS using containers, managed databases, object storage, and secrets management

●Write infrastructure as code, set up CI/CD pipelines, and maintain strong automated test coverage across front end and backend

●Build observability into applications through logging, metrics, alerting, and audit trails

●Incorporate LLM-powered features where they add real value, using platforms such as Amazon Bedrock or OpenAI

REQUIRED QUALIFICATIONS

●9+ years of overall IT industry experience, with at least 6 years of relevant full stack development experience

●Strong React and TypeScript/JavaScript skills, with production applications to show for it

●Strong backend development experience in both Node.js and Python

●Solid experience designing and building RESTful APIs, including OAuth2/SSO integration

●Strong SQL and relational database design skills, ideally PostgreSQL

●Hands-on experience building data integration or ETL/ELT logic: extracting from databases, files, and APIs and loading into analytical stores

●Hands-on AWS experience (ECS/EKS or Lambda, RDS, S3, IAM, CloudWatch, or equivalents)

●Docker, Git, CI/CD, and infrastructure as code (Terraform or AWS CDK)

●Excellent written and verbal communication, with client-facing experience leading technical discussions and presenting designs

●Ability to work independently on fixed-timeline deliveries across onshore and offshore teams

PREFERRED QUALIFICATIONS

●Experience building internal developer tools, low-code/configuration-driven platforms, or metadata-driven frameworks

●Apache Airflow or Dagster

●Change data capture tools such as Debezium, or experience with Kafka

●Snowflake development experience

●Data lineage, catalog, or data quality tooling (OpenLineage, OpenMetadata, Great Expectations, or similar)

●Building LLM-powered or agentic features into applications

●Experience in financial services or other regulated industries

●AWS or Snowflake certifications