Senior Data Engineer

About the RoleWe are seeking an experienced Data Engineer to join our Enterprise Data & AI Platform team. You will be responsible for building and maintaining the data pipelines, storage layers, and processing frameworks that form the backbone of a large-scale cloud data lakehouse. Your work will directly enable analytics, AI/ML, and self-service data capabilities across a complex, multi-domain enterprise organization.What You'll DoDesign, build, and maintain scalable data pipelines supporting batch, near-real-time, API, and streaming ingestion patterns from enterprise and external data sourcesDevelop and optimize ETL/ELT workflows across raw, enriched, and curated data layers within a cloud-based lakehouse environmentImplement and manage data storage solutions for structured, unstructured, and semi-structured dataCollaborate with data architects to translate platform designs into reliable, production-grade implementationsApply and enforce data governance standards including data quality checks, lineage tracking, classification tagging, and access controlsBuild and maintain reusable data products that serve AI/ML and analytics consumers across multiple business domainsMonitor pipeline health and implement observability, logging, and alerting practices to ensure data reliabilityWork with orchestration and scheduling tools to automate and manage complex data workflowsPartner with security teams to ensure pipelines adhere to data classification and compliance requirementsContribute to platform documentation, code reviews, and engineering best practicesWhat You Bring5+ years of experience in data engineering, ETL development, or a closely related roleStrong hands-on experience building data pipelines on cloud platforms (AWS preferred)Proficiency with ETL/ELT frameworks and workflow orchestration toolsExperience working with lakehouse or data lake architectures and multi-zone storage patterns (landing, raw, enriched/curated)Solid programming skills in Python and/or SQL; familiarity with CLI and infrastructure-as-code tools is a plusExperience with structured, unstructured, and semi-structured data processingFamiliarity with data governance, data quality, and metadata management conceptsUnderstanding of streaming and real-time data processing patternsAbility to work effectively in a large, cross-functional, and matrixed enterprise environmentStrong problem-solving skills and attention to detail