Data Engineer Lead

Job Summary We are seeking a Lead Data Engineer to design, build, and operationalize scalable data pipelines that support enterprise data and analytics initiatives. This role combines hands-on technical expertise with leadership responsibilities, focusing on data integration, quality, and governance. The ideal candidate will collaborate with cross-functional teams, mentor junior engineers, and drive the adoption of best practices in data engineering and analytics. Key Responsibilities Architect, build, and maintain scalable data pipelines for enterprise data platforms Lead the development and optimization of data integration and data management solutions Collaborate with data science, analytics, and business teams to refine data requirements Ensure data quality through validation, cleansing, and adherence to business rules Support the operationalization of data pipelines into production environments Partner with data governance teams to promote reusable, curated data assets Drive automation in data integration and pipeline processes Communicate complex technical concepts and results to both technical and non-technical stakeholders Provide leadership, mentoring, and coaching to team members Work with stakeholders to ensure alignment with business needs and priorities Monitor emerging technologies and assess their impact on data architecture Contribute to continuous improvement initiatives and Agile delivery practices Required Qualifications Bachelor's degree in Computer Science, Statistics, or a related field 7+ years of experience in data engineering or data management disciplines Strong experience with data integration, data modeling, and data quality frameworks Proficiency in database programming and advanced analytics techniques Strong experience building and managing data pipelines Experience with ETL processes and tools Proficiency in Python and big data technologies Experience with cloud platforms such as AWS or Azure Strong analytical, problem-solving, and communication skills Ability to lead and mentor teams in a collaborative environment Preferred Qualifications Master's degree in Computer Science, Statistics, or a related field Hands-on experience with data testing and data preparation tools Experience with cloud-native data tools such as AWS Glue, Lambda, Athena, or similar Experience with BI tools and data science platforms Strong understanding of data management architectures and best practices Experience working with large, heterogeneous datasets Experience with DevOps practices including version control, CI/CD, and automated testing Experience working in Agile environments Financial services domain experience Proven ability to lead cross-functional teams and drive outcomes Strong ability to train and mentor junior team members