Lead, Arch Solutions
Core
Design, build, and operate secure, scalable, and reliable cloud data solutions in Azure to support analytics, reporting, and advanced data use cases for Corporate Services.
Role type
Senior Azure Data Engineer
Builds
Production-ready data products, lakehouse and data warehouse solutions, and automated data pipelines
Domain
Financial services / Cloud Data Engineering
Deliverable
production ML models | product features
Required skills
Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Delta Lake, Python, PySpark, SQL, ETL/ELT patterns, distributed data processing, data modeling (star schemas, Data Vault), CI/CD, infrastructure-as-code (Terraform, Bicep)
Preferred skills
Experience with Oracle, PostgreSQL, Snowflake, Git-based development, Agile delivery environments
Technologies
Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Spark, Python, SQL, Terraform, Bicep, Azure DevOps, GitHub Actions, Jenkins
Responsibilities
Design and implement scalable batch and near-real-time data pipelines; Develop lakehouse and data warehouse solutions using layered data patterns; Build cloud-native Azure data solutions; Develop reusable, metadata-driven frameworks and parameterized pipelines; Implement CI/CD and infrastructure-as-code practices; Build automated unit, integration, regression, and data-validation tests
Seniority
Senior, hands-on IC
