Senior Data Engineer

We are seeking a highly skilled, hands-on Senior Data Engineer to join our Data & Analytics team. This role plays a critical part in building and scaling enterprise behavioral and digital data platforms that enable trusted analytics and AI‑ready data across the organization. You will design and implement robust, scalable data pipelines, model complex high‑volume datasets, and deliver well‑structured data products that support business insights, experimentation, and advanced analytics. This is a delivery‑focused engineering role requiring deep technical expertise in Azure, Databricks, and Synapse, along with experience managing large‑scale behavioral and ecommerce data in enterprise environments. Required Qualifications 5+ years of experience in data engineering or related roles, delivering cloud‑based data solutions Strong hands‑on expertise with Azure Databricks and Azure Synapse Analytics, including Spark‑based processing Experience designing and supporting modern data architectures (Lakehouse, ETL/ELT pipelines, batch and near‑real‑time processing) Advanced SQL skills for complex data transformations and performance optimization Proven experience modeling and managing large‑scale, high‑volume behavioral and ecommerce datasets Strong understanding of BI enablement and best practices for self‑service analytics Hands‑on experience with Unity Catalog and data cataloging/governance tools (e.g., Alation) Working knowledge of behavioral analytics platforms such as Adobe Analytics and Adobe Customer Journey Analytics (CJA) Excellent collaboration and communication skills across technical and non‑technical teams Experience operating in agile delivery environments, balancing speed, scalability, and solution quality Preferred Qualifications Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer Professional Key Responsibilities Design, build, and maintain robust, scalable ETL/ELT pipelines and data transformations using Databricks, Spark, and Synapse Model high‑volume, complex event‑level datasets (digital behavior, ecommerce transactions, marketing interactions) to support dashboards, experimentation, machine learning models, and downstream activation Enforce data governance, discoverability, and stewardship using Unity Catalog and data cataloging tools, ensuring compliance, lineage, and metadata management Validate, reconcile, and ensure consistency of behavioral data pipelines against established analytics platforms such as Adobe Analytics and Adobe Customer Journey Analytics Partner with data architects, analysts, data scientists, and business stakeholders to deliver trusted, reusable, and well‑structured datasets Mature ingestion, processing, orchestration, and curation capabilities leveraging Delta Lake optimization, Databricks Workflows, and Synapse for analytical consumption Support and optimize semantic models and data marts that enable self‑service analytics through Power BI and AI‑enabled BI dashboards Participate in agile delivery practices including sprint planning, backlog refinement, documentation, and delivery tracking using Jira and Confluence Document data assets, pipelines, and transformations to ensure transparency, discoverability, and long‑term maintainability