Data Engineering Lead: Cloud ETL & Analytics

We are seeking an experienced Data Engineer Lead to design, develop, and manage scalable data solutions within a cloud-based data platform. The ideal candidate will have strong expertise in ETL development, Azure data services, SQL programming, and large-scale data management. This role requires both hands-on technical expertise and leadership capabilities to guide data engineering initiatives and deliver reliable data solutions for business stakeholders. Key Responsibilities Lead the design, development, and implementation of data engineering solutions and ETL pipelines. Develop and manage data integration processes using Azure technologies such as Azure Data Factory, Synapse, and Databricks. Establish and maintain cloud connectivity between systems including ADLS, ADF, Synapse, and Databricks. Write and optimize T-SQL queries, stored procedures, and scripts for large-scale data processing. Develop and maintain Python scripts to support data engineering workflows. Design, build, and maintain data marts and large-scale relational databases. Manage and troubleshoot large database environments, ensuring system stability and performance. Implement database security, user access control, and data governance practices. Design and manage database backup, archiving, storage, and capacity planning strategies. Perform performance tuning and optimization for large data environments. Support data extraction, transformation, and loading (ETL) from multiple data sources. Collaborate with business teams to deliver data extraction, reporting, and analytics solutions. Lead technical troubleshooting, testing activities, and issue resolution for data platforms. Mentor team members and provide technical leadership to data engineering teams. Required Qualifications 10+ years of experience working with large SQL-based data marts and relational databases. 3+ years of experience in a Technical Lead or Team Lead role. Strong experience with ETL frameworks such as Azure Data Factory, Synapse, or Databricks. Advanced expertise in T-SQL programming. Experience with Python scripting for data processing and automation. Extensive experience with database troubleshooting, performance tuning, and support. Ability to work with large volumes of data and deliver efficient data solutions. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Preferred Qualifications Experience working with financial institution data marts. Knowledge or experience with .NET applications. Experience designing Tableau dashboards and data visualizations. #J-18808-Ljbffr Veriipro