Azure Architect
This is an architect role not lead or engineer
As an experienced Azure Databricks Architect, you will be responsible for designing, implementing, and optimizing cloud-based data quality and reporting architecture using Azure Databricks. You will leverage experience to seamlessly integrate with financial systems such as NetSuite and Salesforce. You will build robust reporting solutions through Power BI.
Key Responsibilities:
Design and architect end-to-end Azure Databricks solutions for financial data processing and analytics.
Implement a data quality engine and ETL/ELT pipelines using Azure services.
Optimize data structures for efficient storage and retrieval of financial data.
Ensure data governance, security, and compliance with financial regulations and best practices.
Integrate and develop Power BI reports and dashboards to provide insights into financial data.
Collaborate with stakeholders including finance and IT teams to understand business requirements and translate them into technical solutions.
Monitor and troubleshoot performance issues in Databricks and Power BI environments.
Required Qualifications:
8+ years of experience in cloud-based data engineering, with a focus on Azure Databricks.
Strong expertise in Apache Spark, PySpark, and SQL for big data processing.
Experience working in the finance industry with knowledge of financial data models and reporting needs.
Hands-on experience with Power BI including DAX, Power Query, and report development.
Knowledge of data governance, security best practices, and compliance standards in finance.
Strong analytical and problem-solving skills.
Excellent communication skills to interact with technical and business teams.
Ability to lead and mentor junior engineers.
Preferred Qualifications:
Azure certifications (e.g. Azure Solutions Architect, Azure Data Engineer, Databricks Certified Developer).
Strong experience with Oracle NetSuite and/or Salesforce
This is an architect role not lead or engineer
As an experienced Azure Databricks Architect, you will be responsible for designing, implementing, and optimizing cloud-based data quality and reporting architecture using Azure Databricks. You will leverage experience to seamlessly integrate with financial systems such as NetSuite and Salesforce. You will build robust reporting solutions through Power BI.
Key Responsibilities:
Design and architect end-to-end Azure Databricks solutions for financial data processing and analytics.
Implement a data quality engine and ETL/ELT pipelines using Azure services.
Optimize data structures for efficient storage and retrieval of financial data.
Ensure data governance, security, and compliance with financial regulations and best practices.
Integrate and develop Power BI reports and dashboards to provide insights into financial data.
Collaborate with stakeholders including finance and IT teams to understand business requirements and translate them into technical solutions.
Monitor and troubleshoot performance issues in Databricks and Power BI environments.
Required Qualifications:
8+ years of experience in cloud-based data engineering, with a focus on Azure Databricks.
Strong expertise in Apache Spark, PySpark, and SQL for big data processing.
Experience working in the finance industry with knowledge of financial data models and reporting needs.
Hands-on experience with Power BI including DAX, Power Query, and report development.
Knowledge of data governance, security best practices, and compliance standards in finance.
Strong analytical and problem-solving skills.
Excellent communication skills to interact with technical and business teams.
Ability to lead and mentor junior engineers.
Preferred Qualifications:
Azure certifications (e.g. Azure Solutions Architect, Azure Data Engineer, Databricks Certified Developer).
Strong experience with Oracle NetSuite and/or Salesforce