Cloud Data Platform Engineer
Core
Design, implement, operate, and evolve a scalable, secure, reliable cloud-based data platform enabling data warehousing, analytics, and AI capabilities on a modern Lakehouse architecture.
Role type
Senior Cloud Data Platform Engineer
Builds
Modern Lakehouse architecture, reusable platform services, automation patterns, and self-service data capabilities.
Domain
Financial services, Cloud Data Engineering, Lakehouse
Deliverable
production ML models
Required skills
Cloud infrastructure (Azure, AWS), Data platforms (Snowflake, Databricks), IaC (Terraform, CloudFormation, Pulumi), CI/CD (GitHub Actions, Azure DevOps), Data orchestration (Airflow, Kafka), Data transformation (dbt), SQL, Python, Java/Scala, Containerization/Orchestration.
Preferred skills
Master's degree, 7+ years experience, DevSecOps expertise.
Technologies
Databricks, Snowflake, Azure, AWS, Terraform, GitHub, Azure DevOps, Apache Airflow, dbt, Kafka, Python, SQL, Java, Scala, CloudFormation, Pulumi.
Responsibilities
Design and implement cloud-based data platform services and infrastructure; Develop standardized onboarding, provisioning, and operational processes; Engineer reusable platform services, templates, and automation patterns; Build and maintain scalable Lakehouse architecture capabilities; Implement CI/CD, Infrastructure as Code, and configuration management practices; Optimize Cloud Data platform performance, cost, and scalability; Implement resiliency solutions including disaster recovery and failover strategies; Enforce governance, security, and compliance standards; Evaluate emerging cloud data services and recommend adoption.
Seniority
Senior, hands-on IC
