Lead Cloud Data Engineer - Multi-Cloud Data Platforms
Core
Design, build, and operate enterprise-grade data products and pipelines across a multi-cloud ecosystem (Azure, AWS, Databricks, Snowflake) to enable scalable, compliant data solutions for financial services.
Role type
Senior Cloud Data Engineer (Multi-Cloud)
Builds
Cloud-native data products, batch and streaming pipelines, and secure data integration layers.
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features
Required skills
Azure Data Platform (Data Factory, Data Lake, Synapse), AWS data services (Glue, S3), Databricks (Spark, Delta Lake), Snowflake, Apache Spark, SQL, dimensional data modeling, CI/CD, observability, cost optimization, IAM/RBAC, REST APIs, Kafka/SQS/RabbitMQ, Power BI/Tableau.
Preferred skills
Data mesh/domain-driven architecture, AI initiative support, financial services industry experience, Azure/AWS professional certifications, Master's degree.
Technologies
Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, AWS Glue, Amazon S3, Databricks, Spark, Delta Lake, Snowflake, Kafka, RabbitMQ, Power BI, Tableau
Responsibilities
Design and maintain cloud-native data pipelines; lead migration of legacy platforms to cloud; implement batch and streaming processing; partner with governance/security teams; enable secure data sharing; define data engineering best practices; mentor junior engineers.
Seniority
Senior, hands-on IC