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Metro location and broad full-stack-plus-data skillset increase applicant density.
Deep data-platform, cloud, and Snowflake expertise reduces cross-industry transferability.
Requires 8–12 years plus specific Snowflake, DBT, Airflow, Azure, React, and FastAPI expertise.
Architect and deliver scalable full stack and data engineering solutions including React frontends, Python/FastAPI services, Snowflake data platforms, and Azure cloud infrastructure.
Lead architecture decisions, develop and review production-grade code, and establish engineering best practices across frontend, backend, data, and cloud platforms.
Mentor engineering teams, drive technical governance, collaborate with stakeholders to translate requirements into solutions, and support AI/LLM integration initiatives.
8 to 12 years of relevant work experience in full stack and data engineering solution delivery.
Bachelor’s or Master’s degree in computer science, Information Systems, Engineering, MCA, or related discipline.
Hands-on expertise in React.js, Python, FastAPI, Node.js, Snowflake, DBT, Airflow, and Microsoft Azure services.
Strong experience with CI/CD (GitHub Actions), containerization (Docker, AKS), and designing secure, high-performance REST APIs.
Experienced technical leader capable of owning end-to-end architecture decisions and hands-on development across full stack and data domains.
Strong in integrating cloud platform services (Azure) with modern data engineering frameworks and implementing DevOps best practices.
Skilled in stakeholder management and translating complex business requirements into scalable, secure, and performant technical solutions including AI/LLM integrations.