Azure Analytics Services Engineer / Architect

Responsibilities

• Design, develop, and maintain scalable data architectures, pipelines, and ETL/ELT processes using Azure Databricks, Synapse Analytics, and Microsoft Fabric.

• Implement and optimize data storage solutions (e.g., Data Lake, Lakehouse, Warehouses) to support enterprise analytics and reporting.

• Ensure adherence to data governance, security standards, and regulatory compliance.

• Monitor, troubleshoot, and optimize data workflows for performance, reliability, and cost-efficiency.

• Collaborate with cross-functional teams to integrate advanced analytics, AI/ML models, and business intelligence tools (e.g., Power BI).

• Translate business requirements into effective technical solutions and maintain comprehensive technical documentation.

• Stay current with emerging Azure data technologies and best practices, driving innovation and continuous improvement.
  Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; Master’s degree is a plus.

• Demonstrated experience as a Data Engineer or Architect, with a strong track record of designing and implementing data solutions using Azure Databricks, Synapse Analytics, and/or Microsoft Fabric.

• Proficient in SQL, T-SQL, DAX, Python, or other relevant programming languages for data transformation, modeling, and automation.

• Solid understanding of data integration strategies, ETL/ELT techniques, and data warehousing principles.

• Skilled in data modeling, schema design, and performance optimization.

• Knowledgeable in data security best practices, governance frameworks, and compliance standards.

• Excellent analytical, problem-solving, communication, and collaboration skills.

• Preferred: Familiarity with Power BI, Azure Data Factory, Microsoft Purview, and CI/CD practices for data solutions. Relevant Microsoft certifications are an advantage.