Cloud Development Engineer

San Francisco, United States

We design, build, and run modern data platforms and AI-native systems that drive productivity, efficiency, and quality - while enabling businesses to move faster and adapt to change.

We are seeking a Cloud Data Development Engineer with strongexpertise in Snowflake, DBT, and Azure Data Services to design,develop, and optimize modern cloud-based data solutions. The ideal candidate will have hands‑on experience building scalable data pipelines, data transformation frameworks, and analytics-readydata platforms. Experience in the Financial Services industry ishighly preferred.

• Design, develop, and maintain scalable ETL/ELT pipelines using
  
  Snowflake, DBT, and Azure services.
• Build and optimize data models, data transformations, and data integration workflows.
• Develop and support cloud-native data solutions leveraging
  
  Azure Data Factory, Azure Data Lake, Azure Synapse, and related
  
  Azure services.
• Optimize Snowflake performance, data storage, and query efficiency.
• Collaborate with business stakeholders, data architects, and analytics teams to understand data requirements and deliver solutions.
• Implement data quality, validation, monitoring, and governance processes.
• Support CI/CD deployment activities and follow best practices for code management and automation.
• Troubleshoot production issues and ensure reliable data operations.

• 7-8 years of experience in Data Engineering and Cloud Data Development.
• Strong hands‑on experience with Snowflake
  .
• Strong experience with DBT (Data Build Tool).
• Experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics
  , and other Azure services.
• Strong SQL development and performance tuning skills.
• Experience building and supporting ETL/ELT solutions.
• Working knowledge of Python for data engineering tasks.
• Understanding of data warehousing concepts, dimensional modeling, and data integration patterns.
• Experience with Agile development methodologies.

• Financial Services or Banking domain experience.
• Experience with Databricks, PySpark, or Spark-based data processing.
• Exposure to Dev Ops/CI-CD practices and source control tools.
• Snowflake or Azure certifications are a plus.

• Kafka or streaming data experience.
• Data governance and data quality implementation experience.
• Experience working in large-scale cloud modernization or migration initiatives.