Senior Director, Data Integrations

Atlanta, GA, US • Posted 30+ days ago • Updated 31 minutes ago
Full Time
On-site
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Decision-making
  • Innovation
  • Leadership
  • Strategic Management
  • Analytics
  • IT Management
  • Testing
  • Data Integration
  • Optimization
  • Streaming
  • Forecasting
  • Capacity Management
  • Microsoft
  • IaaS
  • Return On Investment
  • Accountability
  • Computer Science
  • Data Science
  • Stakeholder Engagement
  • Management
  • Mentorship
  • Software Engineering
  • Scala
  • Functional Programming
  • Concurrent Computing
  • Apache Spark
  • DevOps
  • Continuous Integration
  • Continuous Delivery
  • Git
  • GitHub
  • Build Tools
  • Apache Maven
  • SBT
  • UV
  • Agile
  • Scrum
  • Lean Methodology
  • Cloud Computing
  • Data Engineering
  • Microsoft Azure
  • Databricks
  • Modeling

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: coke
  • Position Id: R-144402
  • Posted 30+ days ago

Company Info

About The Coca-Cola Company

On May 8, 1886, Dr. John Pemberton brought his perfected syrup to Jacobs' Pharmacy in downtown Atlanta, where the first glass of Coca‑Cola was poured. In its first year, about nine Coca-Cola drinks were served per day.

Today, The Coca-Cola Company, with numerous brands sold across more than 200 countries and territories, serves 2.2 billion drinks per day. We own 32 billion-dollar brands across several beverage categories worldwide. Our global portfolio of beverage brands includes the following:

• Sparkling Soft Drinks: Coca-Cola, Diet Coke/Coca-Cola Light, Coca-Cola Zero Sugar, Fanta, Fresca, Schweppes (owned by The Coca-Cola Company in certain countries other than the United States), Sprite and Thums Up
• Water, Sports, Coffee and Tea: Aquarius, Ayataka, BODYARMOR, Ciel, Costa, Crystal, Dasani, Fuze Tea, Georgia, glacéau smartwater, glacéau vitaminwater, Gold Peak, I LOHAS, Powerade and Topo Chico
• Juice, Value-Added Dairy and Plant-Based Beverages: Core Power, Del Valle, fairlife, innocent, Maaza, Minute Maid, Minute Maid Pulpy, Santa Clara and Simply

Our strong and stable bottling and distribution system helps us capture growth by manufacturing, distributing and selling existing, enhanced and new innovative products to consumers throughout the world.

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