Seeking a seasoned Azure Synapse Performance Engineer to drive excellence in enterprise-scale analytics platforms. This role demands deep expertise in Azure Synapse Analytics, Azure Data Factory, ETL/ELT optimization, and SQL performance tuning.

Your primary focus will be on designing, optimizing, and troubleshooting complex analytics environments. This includes ensuring exceptional performance, robust scalability, and unwavering reliability for data pipelines and data warehouse workloads. Your contributions will be integral to our data strategy and operational efficiency.

Architect and refine solutions leveraging Azure Synapse Analytics for maximum impact.

Develop and maintain sophisticated data integration workflows using Azure Data Factory and Synapse Pipelines.

Construct and manage scalable Data Lake architectures, specifically ADLS Gen2.

Implement high-performance ETL/ELT frameworks tailored for enterprise data platforms.

Proactively monitor and resolve issues within large-scale data ingestion, transformation, and processing operations.

Identify performance bottlenecks and deploy effective optimization strategies across all data movement and transformation stages.

Champion data quality, availability, and reliability across all analytical ecosystems.

Mastering Azure Synapse Analytics, Azure Data Factory, and Synapse Pipelines is essential.

Proficiency in designing and implementing scalable Data Lake architectures (ADLS Gen2) is required.

A strong foundation in developing high-performance ETL/ELT frameworks for enterprise data platforms is crucial.

Experience in monitoring and troubleshooting large-scale data ingestion, transformation, and processing workloads is necessary.

Expertise in identifying performance bottlenecks and implementing optimization strategies across data movement and transformation processes is key.

Ensuring data quality, availability, and reliability across analytics ecosystems is a core expectation.