Senior Engineer, Technology II (Data Engineering & Architecture)

Sr. Data Engineer & Solution Architect AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. The Sr. Data Engineer & Solution Architect serves as the principal designer for Operations Data organization, with a focus on cloud-native data lakehouse architecture, advanced data engineering, and Supply Chain data domains. This role is responsible for conceiving, designing, and implementing scalable, high-performance data solutions leveraging modern AWS Database & Analytics services, Apache Iceberg open table format, AWS Redshift, and Medallion Architecture principles. The Sr. Data Engineer & Solution Architect will drive Data Product-centric thinking and data mesh principles for the organization, partnering closely with Supply Chain functional and business stakeholders to deliver trusted, governed, and actionable data and dashboards across from Supply Chain domains. This role requires a deep combination of hands-on technical expertise, solution architecture, and the ability to communicate complex data strategies to both technical teams and cross functional stakeholders. Responsibilities: Design, develop, implement and oversee legacy ETL and cloud-native data ingestion frameworks and end-to-end data pipelines leveraging AWS services including AWS Glue, Amazon S3, AWS EMR, AWS Lambda, and other ingestion / ETL technologies like Informatica; assess information needs and data flows to engineer scalable, reliable, and cost-effective solutions. Solution architect data need for the Operations Supply Chain analytical use cases using Apache Iceberg open table format, implementing Medallion Architecture to ensuring data quality, lineage, and accessibility. Build, optimize, and maintain AWS Redshift data warehouse solutions for Supply Chain analytical use cases, including the design of data products leveraging AWS Redshift aligned to enterprise analytics consumption patterns. Define, promote, and implement Data Product-centric architecture and data mesh principles from business domains; establish standards for data product design, ownership, discoverability, and interoperability to enable all analytical Dashboards and AI use cases. Partner with Supply Chain BTS (IT) functional and business stakeholders to understand and model critical data flows across from SAP and planning systems processes; translate complex ERP data structures into governed, analytics-ready data products within the lakehouse platform. Lead consultant technical data engineering team responsible for building the solutions; supervise team members as needed, remain accountable for team delivery and performance, and cultivate a culture of engineering excellence and continuous improvement. Qualifications: Required: Bachelor's Degree in Computer Science, Information Systems, Data Engineering, or a related field with 7+ years of experience in data architecture and data engineering; Master's Degree with 6 years' experience; or PhD with 2 years of experience. Deep, hands-on expertise with modern AWS Database & Analytics services including AWS Glue, Amazon S3, AWS EMR and related ingestion and transformation technologies like Informatica. Demonstrated hands-on experience with Apache Iceberg open table format or similar technologies for lakehouse architecture. Proficiency with AWS Redshift for enterprise data warehousing or similar Modern data warehousing platforms. Proven experience designing and implementing Medallion Architecture (Bronze/Silver/Gold layers) and Data Product frameworks; familiarity with data mesh principles including domain ownership, data product thinking. Familiarity with Supply Chain ERP systems, specifically SAP, and working knowledge of core Supply Chain data flows and data domains. Familiarity with Blue Yonder (formerly JDA) planning domain covering demand planning, supply planning etc. including understanding of the underlying data models and integration patterns with enterprise data platforms. Strong programming and query skills in ETL, SQL, Python, and Apache Spark/PySpark for large-scale data transformation, processing, and pipeline development. Solid knowledge of data governance frameworks, data cataloging using Alation or AWS Glue Data Catalog, metadata management, data lineage, and data quality practices; experience implementing enterprise-wide data governance policies and controls. Demonstrated ability to analyze complex business requirements, evaluate technical options, and deliver efficient, scalable, and cost-effective data solutions; proven experience operating with a high degree of autonomy in enterprise or regulated IT environments, balancing technical depth, architecture leadership, and senior stakeholder engagement. Preferred: Knowledge of reporting tools such as PowerBI etc. is a plus for the role. Additional Information: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: Recruitment Fraud Alert We have recently become aware of various recruitment phishing scams targeting job seekers. Please be advised: AbbVie will never request sensitive personal information (such as bank account details, social security numbers, or payment of any kind) during the recruitment process. If you suspect you have received a fraudulent offer or communication claiming to be from AbbVie, please do not respond, open any attachments, or click on any hyperlinks. If you have any questions or concerns regarding the authenticity of a communication alleged to have been made by or on behalf of AbbVie, please contact us immediately. Protect yourself by verifying job offers and communications. Your safety is important to us. Yes, 5% of the Time Pay Range: $109500 - 208500 USD Where We Work Role is primarily site- or office-based but can occasionally be performed remotely. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role. AbbVie