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Lead Data Engineer

The Lead Data Engineer will be reporting to VP of Data Engineering and will be responsible for implementing data solutions and collaborating with Business Analyst, Data Analyst, IT Teams and key stakeholders. This role will lead projects and coach junior staff on build and optimize data pipelines, integrating data from various sources, ETL processes and ensuring data quality and consistency. The Lead will ensure that our data engineering practices are aligned with the latest technologies and industry best practices, focusing on performance, reliability, and efficiency. Job Responsibilities: Provide technical leadership in data architecture and engineering, collaborating with solution stakeholders to align data solutions with business objectives. Mentor less experienced data engineers and team members, fostering a collaborative and innovative work environment. Explore and implement new technologies and practices in data engineering to continually improve our data processes and infrastructure. Manage and enhance complex SSIS packages for data integration and ETL processes, along with SSRS reports for business intelligence. Design, build, and maintain scalable and efficient data pipelines using Azure Data Factory, implementing both batch and real-time data integration processes. Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments. Implement and manage data storage solutions using Delta Parquet files in Azure Data Lake Storage, optimizing for query performance and cost-efficiency. Integrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality. Set up and manage Change Data Capture processes for real-time data synchronization in Azure data platforms. Implement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance. Enhance and support Tableau reporting solutions, developing complex dashboards, and integrating with Azure data services. Drive automation and process optimization using Azure services and scripting and implement CI/CD pipelines using Azure DevOps. Lead SQL Server database optimization and performance tuning efforts. Lead, coach and mentor junior staff on projects. Work Experience and Education: Bachelor's degree required, Master's degree preferred; Computer science, Information Technology or Engineering is preferred. Any other related discipline or commensurate work experience considered. 12+ years of experience in Data Engineering with a Bachelor's degree, or 8 years of experience with a Master's degree is preferred. Subject Matter Expert in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services. Proficiency in Profisee MDM Integration, Change Data Capture implementation, and data quality and governance with Azure Purview. Proven experience in Tableau and BI Reporting, and strong skills in Automation and Process Licenses & Certifications: Advanced Data Analytics Certifications (ADAC), SAS Statistical Business Analyst Professional Certification (SBAPC), or Cloudera Certified Professional (CCP) Data Engineer a plus. Skills: Technical/Functional Skills: Big Data Analytics Leadership Data Governance Data Modeling Data Processing Data Warehousing Database Management Knowledge of ETL processes Machine Learning Predictive Analysis Programming Languages Behavioral Skills: Critical Thinker Communication Relationship Building Effective Communication Time Management Problem Solving Attention to Detail