Senior Director, Data Integrations

AtThe Coca-ColaCompany, 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.
This senior leadership role combines deep technicalproficiency(hands-on)in modern data engineering witha strategicdirection to enable enterprise-scale integration acrossCoca-Cola'sData and Analytics platforms.You will drive both the engineering rigor and the career development of your team.
Core Responsibilities

• Provide Strategic Technical Leadership:Champion modern data engineering principles and a systems-thinking approach across multiple teams, ensuring architectural integrity and alignment withCoca-Cola'sData Integration strategy.
  

• Develop and Inspire High-Performing Teams:Lead and mentor a diverse team of data integration professionals,buildingcapabilities in advancedarchitectures, fostering a culture of learning, and supporting career progression.
  

• Drive Engineering Excellence:Promote engineering practices-advancing modular design, functional programming standards, and continuous testing across all integration solutions.
  

• Lead Design and Delivery of Scalable Data Architectures:Shape and implement distributed pipelines and Medallion architectures using technologies such as Apache Spark and Scala within the Microsoft Fabric ecosystem to enable flexible, efficient data integration.
  

• Enhance Performance and Optimization:Apply advanced techniques for Spark workload tuning -addressing memory, partitioning, and query planning to deploy efficient batch and streaming processes.
  

• Drive Data FinOps and Cloud Cost Governance:Implement robust cost monitoring, workload forecasting, and capacity planning for Microsoft Fabric andassociated cloud infrastructure to maximize ROI, ensure efficient computeutilization, and balance fiscal accountability with performance SLAs.
  

Required Qualifications & Experience

• Bachelor's degree in computer science, Engineering, Data Science, or a related field; advanced degree preferred.
  

• Proven experience(10+ years)directly managing, mentoring, and developing software or data engineering teams.
  

• Strong communicationand stakeholder engagement skills, partnering effectively across business, technology, and product teams to deliver scalable solutions aligned to enterpriseobjectives.
  

• Proven experience managing, mentoring, and scaling software or data engineering teams, with a strongtrack recordof leading complex projects and developing senior engineering staff.
  

• Software Engineering (8+ years): Extensive polyglot development experience on the JVM, with a strict requirement for deepproficiencyin Scala. Mustdemonstratea strong grasp of functional programming, concurrency models, and modularization.
  

• Spark Expertise (6+ years): Deep, hands-on experience building,debuggingandoptimizingdistributed computing applications using Apache Spark.
  

• DevOps & CI/CD: Proven ability to build automated release cycles. Hands-onexpertisewith Git, GitHub Actions, and build tools (Maven/SBT, UV arerequired).
  

• Delivery: Experience in Agile development (Scrum, lean techniques) and collaborating with global engineering teams.
  

Preferred Qualifications

• Certification in cloud platforms or data engineering (e.g., Azure Solutions Architect, Databricks Certified Professional).
  

• Background in platform cost governance and workload performance modeling at enterprise scale.