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Job Description
Structured overview of role & requirementsAbout This Role
Architect, implement, and operate a Kubernetes- and cloud-based internal data platform supporting high-scale applications and AI infrastructure.
Design, build, and scale modular ETL/ELT pipelines and data models optimizing performance for analytics and machine learning.
Lead CI/CD strategy including pipeline automation, release promotion strategies, and developer experience enhancements; also provide technical leadership and mentorship.
Minimum Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
4+ years in Data Engineering, Platform Engineering, or SRE with production-grade data platform and ETL pipeline ownership.
Strong hands-on expertise in at least one major cloud platform and advanced proficiency in SQL and dimensional data modeling (Kimball/star/snowflake/medallion lakehouse).
Experience with ETL/ELT frameworks and pipeline orchestration tools (e.g., Airflow, dbt, Spark, Dagster).
Ideal Candidate Profile
Experienced in building scalable, secure, and cost-efficient cloud-native data platforms with Kubernetes and multi-cloud environments.
Demonstrated ability to lead technical initiatives, mentor engineers, and manage stakeholder communications in complex financial or analytical settings.
Strong expertise in data architecture, CI/CD pipeline strategies including progressive delivery, and enhancing developer productivity through tooling and documentation.