Lead Data Engineer

Job DescriptionWe are seeking an experienced Technology Lead / Lead Data Engineer with strong hands-on expertise in Python, AWS, and SQL. The ideal candidate will lead data engineering initiatives, build scalable data processing pipelines, and collaborate closely with architecture and business teams in a client-facing environment.This role requires strong technical leadership, experience working in Agile delivery models, and prior exposure to enterprise or financial industry environments.Key ResponsibilitiesDesign, develop, and maintain scalable data engineering solutions using PythonBuild and optimize data processing, transformation, and orchestration pipelinesWork extensively with AWS cloud services for data storage, processing, and deploymentCollaborate with architects, business analysts, and stakeholders to gather and refine requirementsTranslate business needs into technical solutions and system designsParticipate in design discussions and provide technical leadership for data platformsEnsure data quality, performance, and reliability across pipelinesWork in an Agile/Scrum environment with distributed (onshore/offshore) teamsSupport integration of AI/ML-related initiatives where applicableEngage directly with client teams for requirement gathering and solution deliveryRequired Skills & Qualifications10+ years of experience in Data Engineering or related fieldStrong hands-on experience in Python for data engineeringProven experience with AWS cloud services (e.g., S3, Glue, Lambda, EMR, Redshift, etc.)Strong proficiency in SQL and data modelingExperience in data transformation and orchestration frameworksStrong communication skills and client-facing experienceExperience working in Financial Services or Banking domain preferredAbility to work onsite/hybrid in Irvine, CA