Manager, Data Architecture

Role Overview At The Coca Cola Company, we believe data is the foundation for creating personalized experiences and powering sustainable growth in today’s digital-first world. As consumers engage with our brands in more connected ways than ever before, we are investing in advanced data and analytics platforms to unlock deeper insights, accelerate decision-making, and enable seamless innovation at scale.

In this critical role, you will design and shape the frameworks that connect our structured and unstructured data assets, ensuring consistency, quality, and interoperability for advanced analytics and enterprise workloads. As a Senior Data Architect, you will partner with cross functional teams to establish architectural standards, integrate emerging technologies, and deliver high performing solutions across our global ecosystem.

Core Responsibilities

• Lead the design of modern, cloud enabled data architecture frameworks that ensure scalability, security, and compliance across global data environments.
• Develop conceptual, logical, and physical data models supporting diverse use cases, including analytics, data science, and advanced automation.
• Define integration patterns and orchestration principles to unify data from transactional systems, external sources, and streaming platforms.
• Optimize workflows through data partitioning strategies, storage formats, and platform configurations to enable high performance querying and cost efficiency.
• Engineering Rigor: Champion the "You Build It, You Run It" philosophy. Apply strict functional programming and SOLID principles to write clean, modular, and testable Scala code.
• Performance Optimization: Conduct deep Spark performance tuning - managing memory, query plans, partitioning strategies, and capacity optimization to deliver highly efficient batch and streaming workloads within Microsoft Fabric.
• CI/CD & Automation: Architect and maintain robust CI/CD pipelines using GitHub Actions, Maven, and SBT to automate testing, deployment, and configuration of data artifacts.

Required Qualifications & Experience

• Software Engineering (3+ years): Extensive polyglot development experience on the JVM, with a strict requirement for deep proficiency in Scala.
• Must demonstrate a strong grasp of functional programming, concurrency models, and modularization.
• Experience building REST based microservices on JVM.
• Spark Expertise (3+ years): Deep, hands-on experience building, debugging and optimizing distributed computing applications using Apache Spark (Scala/Java preferred).
• Experience designing data models (STAR, Vault, Tabular) for analytics.
• DevOps & CI/CD: Proven ability to build automated release cycles. Hands-on expertise with Git, GitHub Actions, and build tools (Maven/SBT, UV are required).
• Demonstrated experience working with big data ecosystems such as Hadoop, Delta Lake, or similar technologies within cloud platforms (AWS, Azure, or GCP).
• Delivery: Experience in Agile development (Scrum, lean techniques) and collaborating with global engineering teams.