Delivery Lead

Location: NJ / Charlotte / Atlanta (onsite hybrid) Responsibilities: Oversee and drive the delivery of end-to-end projects focused on analytical applications and ETL projects. Provide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices. Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables. Utilize frameworks like Snowflake, Spark, and AWS Glue to design, deploy, and integrate cutting-edge data solutions. Manage cross-functional collaboration with Business Data Analysts (BDAs), ensuring alignment between data engineering and business goals. Take ownership of release planning, change management, and stakeholder engagement to ensure project success. Ensure adherence to Agile practices, facilitating sprint planning, retrospectives, and delivery timelines. Technical Expertise: Framework and Foundational Services: Expertise in building modular, scalable, and reusable frameworks for data integration, data quality validation, and pipeline orchestration. ETL Projects: Hands‑on experience with ETL processes, data migration, and data mart implementation. Data Engineering: Strong background in Snowflake, SQL, DBT, and PySpark, with advanced knowledge of query optimization, CDC (Change Data Capture), and data transformation. Cloud Platforms: Extensive experience with AWS (Glue, EMR, S3, Lambda, Redshift), Azure Data Factory, and cloud‑native architectures. Application Development: Expertise in developing event‑driven and microservices‑based architectures using Java, Python, and modern frameworks. CI/CD & Automation: Proficient in building CI/CD pipelines with tools like Jenkins, GitLab, and Terraform for infrastructure‑as‑code automation. Big Data & Analytics: Proven experience in managing Big Data platforms and implementing solutions for large‑scale data ingestion, storage, and processing. Security & Compliance: Implementation of security best practices, including OWASP guidelines, RBAC, and vulnerability detection/remediation. Must Have: Proven experience in building scalable data engineering frameworks and foundational services to support enterprise‑wide analytics initiatives. Hands‑on expertise in Snowflake, Spark, and AWS Glue, with knowledge of event‑driven architectures and streaming data solutions. Strong leadership experience in managing teams and delivering complex projects in Agile environments. Proficiency in ETL processes, data migration, and data mart implementation. Excellent communication and stakeholder management skills to collaborate across diverse teams. Experience in the insurance industry is a plus. #J-18808-Ljbffr