Senior Director, Data Integrations
Quick summary
- Work type
- On-site
- Location
- Atlanta, GA
- Salary
- $202,000–$229,000 / yr
- Employment
- Full-time
- Posted
- 5 days ago
- Freshness
- Confirmed live today
- Closes
- Oct 5, 2026 (soon)
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 60% of similar roles. Most pay $157,500–$238,387 — the shaded band above. At the midpoint, this role pays about $216k versus about $198k for comparable roles.
Based on 240 similar postings.
Employer
About The Coca‑Cola Company
The Coca-Cola Company is the world''s largest beverage company, producing and distributing iconic soft drinks, juices, water, and other beverages across more than 200 countries. Industry: Beverages & Consumer Goods
The Coca‑Cola Company currently has 16 open roles on FindRole.
Listed pay typically runs $152,000–$178,300 across 16 roles with salary data.
Most-posted roles
- Software Engineer 8
- Data/Machine Learning Engineer 2
- Data Architect Global Equipment Platforms Director 1
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- Data Integrations Director 1
At a glance
TL;DR · Senior Director, Data Integrations
As the Senior Director, Data Integrations, you will provide strategic technical leadership to a team of data integration professionals while driving engineering excellence across enterprise-scale platforms. You will be responsible for designing and delivering scalable data architectures, implementing distributed pipelines using Medallion architecture, and managing Spark workload tuning for batch and streaming processes. The role involves overseeing data FinOps and cloud cost governance within the Microsoft Fabric ecosystem to ensure efficient compute utilization. To succeed, you must possess deep expertise in Scala, functional programming on the JVM, and Apache Spark. You will also manage automated release cycles using Git, GitHub Actions, and Maven or SBT tools. This position solves complex integration challenges by ensuring architectural integrity and high-performance data flows across various platforms to support advanced analytics and seamless innovation at scale.
Skills
What you'll do
- Lead and mentor a diverse team of data integration professionals to foster technical growth and career progression.
- Champion modern data engineering principles and systems-thinking to ensure architectural integrity across multiple teams.
- Design and implement distributed pipelines and Medallion architectures using Apache Spark and Scala within Microsoft Fabric.
- Optimize Spark workloads by addressing memory, partitioning, and query planning for batch and streaming processes.
- Manage Data FinOps by implementing cost monitoring, workload forecasting, and capacity planning for cloud infrastructure.
- Enforce engineering excellence through modular design, functional programming standards, and continuous testing across all solutions.
- Build automated release cycles using Git, GitHub Actions, and standard build tools like Maven or SBT.
What we're looking for
- Bachelor's degree in computer science, Engineering, Data Science, or a related field; advanced degree preferred.
- 10+ years of experience managing, mentoring, and developing software or data engineering teams.
- 8+ years of polyglot development experience on the JVM with deep proficiency in Scala and functional programming.
- 6+ years of hands-on experience building, debugging, and optimizing distributed computing applications using Apache Spark.
- Proven ability to build automated release cycles using Git, GitHub Actions, and Maven/SBT or UV tools.
- Experience in Agile development (Scrum, lean techniques) and collaborating with global engineering teams.
- Certification in cloud platforms or data engineering (preferred).
- Background in platform cost governance and workload performance modeling at enterprise scale (preferred).
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