Snowflake Azure Data Engineer

As a Data Engineering expert at our company, you will be responsible for driving end-to-end data platform design and delivery using Azure and Snowflake. You will play a crucial role in leading the design and implementation of data solutions while providing technical guidance to data engineers. Your expertise will be essential in ensuring data pipelines meet standards for performance, reliability, security, and cost efficiency. Additionally, you will collaborate with various stakeholders to translate requirements into scalable data solutions and drive data modelling standards across data assets. Key Responsibilities: - Lead the design and implementation of end-to-end data solutions across ingestion, processing, and analytics layers - Provide technical leadership to data engineers, including design guidance, code reviews, and best practices - Design and oversee ETL/ELT pipelines using Azure data services - Own and optimize data platforms built on Microsoft Azure and Snowflake - Collaborate with product, analytics, and business stakeholders to translate requirements into scalable data solutions - Support data governance, quality, monitoring, and operational excellence - Troubleshoot complex data issues and guide root-cause analysis Qualifications Required: - 612 years of experience in Data Engineering, with experience leading or mentoring teams - Strong hands-on experience with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake (Gen2), Azure Synapse Analytics - Strong experience designing and managing solutions on Snowflake - Advanced proficiency in SQL - Excellent analytical, logical, and problem-solving skills - Experience with StreamSets for data ingestion and pipeline orchestration - Knowledge of data governance, lineage, and metadata management - Experience with Python or scripting for automation Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We offer a competitive salary and benefits package along with a culture focused on talent development and employee engagement initiatives. Additionally, we support hybrid work and flexible hours to fit diverse lifestyles, ensuring an inclusive and people-centric work environment. As a Data Engineering expert at our company, you will be responsible for driving end-to-end data platform design and delivery using Azure and Snowflake. You will play a crucial role in leading the design and implementation of data solutions while providing technical guidance to data engineers. Your expertise will be essential in ensuring data pipelines meet standards for performance, reliability, security, and cost efficiency. Additionally, you will collaborate with various stakeholders to translate requirements into scalable data solutions and drive data modelling standards across data assets. Key Responsibilities: - Lead the design and implementation of end-to-end data solutions across ingestion, processing, and analytics layers - Provide technical leadership to data engineers, including design guidance, code reviews, and best practices - Design and oversee ETL/ELT pipelines using Azure data services - Own and optimize data platforms built on Microsoft Azure and Snowflake - Collaborate with product, analytics, and business stakeholders to translate requirements into scalable data solutions - Support data governance, quality, monitoring, and operational excellence - Troubleshoot complex data issues and guide root-cause analysis Qualifications Required: - 612 years of experience in Data Engineering, with experience leading or mentoring teams - Strong hands-on experience with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake (Gen2), Azure Synapse Analytics - Strong experience designing and managing solutions on Snowflake - Advanced proficiency in SQL - Excellent analytical, logical, and problem-solving skills - Experience with StreamSets for data ingestion and pipeline orchestration - Knowledge of data governance, lineage, and metadata management - Experience with Python or scripting for automation Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We offer a competitive salary and benefits package along with a culture focused on talent development and employee engagement initiatives. Additionally, we support hybrid work and flexible hours to fit diverse lifestyles, ensuring an inclusive and people-centric work environment.