Description

You will design and maintain enterprise-scale data platforms using Azure Databricks Lakehouse and Unity Catalog, owning the end-to-end BI architecture and ensuring self-service data availability.

This role is on-site.

Responsibilities

• Architect and implement scalable data solutions using Power BI, DAX, and Power Query.
• Manage large-scale self-service datasets for diverse business stakeholders.
• Develop and maintain CI/CD pipelines for BI solutions and analytics architecture.
• Apply DataOps practices to streamline deployment and monitoring.
• Collaborate with cross-functional teams to solve complex data engineering challenges.

Required Skills

• 12+ years of overall IT experience with 7+ years in BI architecture and data engineering.
• Expert-level proficiency in Power BI, including DAX, Power Query, and data modeling.
• Hands-on experience with Azure Databricks Lakehouse and Unity Catalog.
• Strong understanding of cloud-based data warehousing and analytics architecture.
• Bachelor's or Master’s degree in Computer Science, Information Systems, Data Analytics, or related field.
• Experience with ETL/ELT processes.
• Knowledge of CI/CD implementation.

Preferred Skills

• Knowledge of Azure Data Lake Storage, Azure Data Factory, and Synapse Analytics.
• Familiarity with DataOps practices.

Key Skills

Education

Bachelor's or Master's degrees