• Lead, mentor, and grow a team of data engineers and architects • Define and execute the technical roadmap for production database systems (MySQL, PostgreSQL, DynamoDB, Elastic) • Own the architecture and governance of binlog replication, logical replication, and CDC workflows • Drive strategy and reliability for ELT/ETL pipelines and Kafka-based streaming architectures • Set standards for performance optimization, query tuning, indexing, and database scaling across teams • Oversee backup, failover, disaster recovery (PITR), and incident response for all production data systems • Drive cost efficiency, infrastructure optimization, and monitoring across cloud-managed data services (AWS RDS, Aurora, DynamoDB) • Champion data integrity, security, and compliance standards across all data engineering work • Partner cross-functionally with backend, data science, infrastructure, and product teams to align on data platform priorities • Establish engineering guardrails, best practices, and documentation to enable team autonomy and quality at scale • Lead the evaluation and selection of next-generation data warehousing technology (Snowflake, Databricks, AWS Redshift Serverless) — assessing performance, cost, ecosystem fit, and migration complexity to inform a platform decision • Own the design of an upgraded data model for the warehouse in partnership with data engineers and architects, establishing standards for schema design, partitioning, access patterns, and downstream consumption • Oversee the end-to-end migration from the current Redshift warehouse — planning the phased approach, managing cutover risk, and ensuring continuity of downstream reporting and analytics throughout

• Assist in building and maintaining ETL/data pipelines using Python and PySpark • Ingest, transform, and validate data from multiple sources • Support data modeling and schema design for structured datasets • Use Git for version control and collaborate with engineering teams • Perform unit testing, code reviews, and performance optimization • Contribute to technical documentation of data workflows and pipelines • Support feature testing and controlled releases in QA/dev environments • Perform exploratory analysis using Jupyter/Amazon SageMaker notebooks • Work in a Scrum/Agile environment with clear communication and collaboration

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results. How you will contribute You will: - Execute the business analytics agenda in conjunction with analytics team leaders - Work with best-in-class external partners who leverage analytics tools and processes - Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance - Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: - Using data analysis to make recommendations to analytic leaders - Understanding in best-in-class analytics practices - Knowledge of Indicators (KPI's) and scorecards - Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus Purpose of Role The Visualization & Semantic engineer will be an expert in designing, implementing, and optimizing the Semantic Layer for business self-service consumption as well as project implementation. A successful candidate will be able to provide deep expertise and capacity to share their knowledge through training and awareness sessions to multiple audiences. Main Responsibilities - You will work closely with all Mondelez D&A projects to guide, control, and build efficient Data Solutions that are Self-Service ready: - Create / design templates and best practices related to Semantic, data modelling, & Visualization. - Train the trainer: You will be the lead Power Bi & Semantic trainer. - Consult & help project execution as the key point for expertise. - Keep current & test innovation & new functionalities to validate them for production usage. - Participate in the semantic & visualization Community of Practice success. Career Experiences Required & Role Implications - Bachelor's degree, Master's in IT related field preferred - 5+ years' experience in Consulting or IT, leading the implementation of data solutions - 3-5 years of experience around the Semantic Layer, Data Models, and KPI calculation. - Demonstrate prior experience leading complex data design with multi-dimensional models and custom aggregations. - 2-3 years Power BI / Dax experience, GCP/Big Query data sources is a plus. - Understanding of data structures and algorithms with strong problem-solving skills. - Experience solving Data Analysis Challenges, such as Performance, References, Quality, integration, GCP, and/or Azure data solutions certification is a plus. - Understanding of Machine Learning and statistical forecasting activity is a plus. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. The Impact of a Sr. Lead AI Engineer, Data at Coupa: Coupa's data platform already handles anonymized data exports, commodity classification, supplier normalization, and benchmark metrics across 197+ enterprise tables. The Lead AI Engineer, Data will expand this foundation, building the data curation and pipeline infrastructure that feeds our growing AI model training capabilities. This is a high-volume workstream processing trillions of dollars of enterprise spend data. What You’ll Do - Lead the design and implementation of data pipelines that prepare high-quality training data for AI models. - Build data curation workflows that transform raw enterprise data into labeled, validated datasets. - Design data quality frameworks: validation, profiling, anomaly detection, lineage tracking. - Extend existing anonymized data export pipelines to support AI training workloads. - Implement synthetic data generation pipelines. - Design schema mappings across 197+ enterprise tables for feature extraction. - Collaborate with ML engineers on training data format requirements. - Establish data catalog and metadata management for AI training artifacts. What You Will Bring to Coupa - 10+ years of software engineering experience, with 5+ years in data engineering. - Strong experience with Apache Spark / PySpark and large-scale data processing. - Experience building ETL/ELT pipelines on cloud infrastructure (managed Spark, object storage, managed ETL, or equivalent). - Knowledge of data quality frameworks and data governance. - Experience with data anonymization and privacy-preserving data processing. - Understanding of ML training data requirements. - Proficiency in Python and SQL. - Experience with data catalog tools and metadata management. - BS/MS in Computer Science or equivalent experience. - Experience in B2B SaaS with multi-tenant data preferred. Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. Please be advised that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.