Cloud Data Platform Engineer
Core
Design, implement, and operate a scalable, secure, high-performance cloud-based data platform (Lakehouse architecture) enabling data warehousing, analytics, and AI capabilities for enterprise clients.
Role type
Senior Cloud Data Platform Engineer
Builds
Modern Lakehouse architecture, self-service data platform services, CI/CD pipelines, and automation frameworks for data ingestion, transformation, and AI workloads.
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud infrastructure engineering, Infrastructure as Code (Terraform, CloudFormation, Pulumi), Data pipeline orchestration (Airflow, Kafka), Data platform management (Snowflake, Databricks), SQL, Python, Java, Scala, Containerization (Docker, Kubernetes), DevSecOps practices, FinOps principles.
Preferred skills
Experience in regulated environments (GDPR, HIPAA, SOC2), Mentorship of junior engineers, Knowledge of emerging cloud data services.
Technologies
Azure, AWS, Snowflake, Databricks, Terraform, GitHub Actions, Azure Data Factory, Apache Airflow, dbt, Kafka, Docker, Kubernetes, Python, SQL, Java, Scala, CloudFormation, Pulumi.
Responsibilities
Design and implement cloud data platform services and infrastructure; Develop reusable platform services, templates, and automation patterns; Implement CI/CD, IaC, and configuration management practices; Optimize platform performance, cost, and scalability; Enforce governance, security, and compliance standards; Collaborate with architects and engineering teams to define platform standards and roadmaps.
Seniority
Senior, hands-on IC
