Job Summary: The Senior Technical Lead will be responsible for leading technical teams and overseeing the implementation of projects related to Snowflake, Azure Data Factory (ADF), and Data Bricks. The role involves ensuring the successful delivery of data solutions and optimizing data pipelines for efficient performance. Key Responsibilities: Lead and manage technical teams, providing guidance and support in the implementation of Snowflake, Azure Data Factory (ADF), and Data Bricks projects. Design, develop, and maintain data pipelines using Snowflake, Azure Data Factory (ADF), and Data Bricks to support business requirements. Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data-driven solutions. Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance. Stay updated with the latest trends and technologies in data management and analytics, incorporating best practices into projects. Collaborate with cross-functional teams to integrate data solutions with existing systems and applications. Provide technical expertise and mentorship to team members, promoting a culture of learning and innovation. Skill Requirements: Proficiency in Snowflake, including data modeling, querying, and performance optimization. Strong experience in Azure Data Factory (ADF) for data integration and orchestration. Hands-on knowledge of Data Bricks for data engineering, data processing, and machine learning. Ability to design, develop, and optimize complex data pipelines for ETL processes. Strong problem-solving skills and the ability to troubleshoot data pipeline issues. Excellent communication skills to interact with technical and non-technical stakeholders effectively. Strong leadership skills to guide and motivate technical teams towards project delivery and success. Experience in agile methodologies and project management practices for efficient project execution. Certifications: Relevant certifications in Snowflake, Azure Data Factory (ADF), and Data Bricks are a plus. Experience: 5+ years of experience in data engineering and analytics. - Strong proficiency in Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks. - Expertise in Azure App Insights and PowerBI. - Proficiency in Adobe Analytics for web and application data analysis. - Strong SQL and scripting skills (Python, PowerShell). - Experience with data warehousing and data modeling concepts. - Excellent problem-solving and troubleshooting skills. - Strong communication and collaboration skills. #J-18808-Ljbffr