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Manager, Data Architecture

Bulgaria - Sofia

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Coca-Cola

What you’ll work on

Full posting

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.

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.

  • Lead design of cloud-enabled data architecture frameworks for scalability and security

  • Develop conceptual, logical, and physical data models for analytics and data science

  • Define integration patterns to unify transactional, external, and streaming data

  • Tune Spark performance across memory, query plans, and partitioning in Microsoft Fabric

  • Architect and maintain CI/CD pipelines using GitHub Actions, Maven, and SBT

From the employer’s posting
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.
Lead the design of modern, cloud enabled data architecture frameworks that ensure scalability, security, and compliance
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.
Conduct deep Spark performance tuning - managing memory, query plans, partitioning strategies, and capacity optimization
Architect and maintain robust CI/CD pipelines using GitHub Actions, Maven, and SBT

What you’ll bring

All qualifications

Core experience

  • Experience building REST based microservices on JVM.
  • Experience designing data models (STAR, Vault, Tabular) for analytics.
  • 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).
Qualification wording
Experience building REST based microservices on JVM.
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).

Tools in this posting

  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Azure
  • Delta Lake
  • GCP
  • Hadoop
  • Spark
Source — Tool mentions in context
- 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.
Skills: Database Management Systems (DBMS), Python (Programming Language), Structured Query Language (SQL) Location(s):
- 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.
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.
- 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.

Posting record

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Status in our records
Live
First seen by us
Oct 8, 2026 · 23 days ago
Recorded sightings
50
Last seen by us
Oct 31, 2026

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Job description

View original posting ↗

Job Description Summary:

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.

Skills:

Database Management Systems (DBMS), Python (Programming Language), Structured Query Language (SQL)

Location(s):

Bulgaria

City/Cities:

Sofia

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

November 8, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

Source details

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Bulgaria - Sofia

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