Senior Data Architect with AWS and Databricks, Data Platform

Almatý
Astaná
Belgrado
Breslavia
Cluj-Napoca
Cracovia
Ereván
Lárnaca
Lodz
Lublinie
Remote.Bulgaria
Remote.Georgia
Remote.Kazakhstan
Remote.Poland
Riga
Sofia
Tiflis
Varna
Varsovia

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Client

The world’s largest sporting goods retailer, with a global team of 5,000+ experts across engineering, product, data, cloud, and cybersecurity, is building the largest digital sports platform driving innovation from product design to customer experience and sustainability.

Project overview

The project focuses on building a centralized cloud data platform that supports large scale data ingestion, processing, and analytics workloads. The platform enables advanced reporting, analytics, and data science use cases across multiple domains.

Position overview

We are looking for a Senior Data Architect to design and evolve a modern, scalable cloud data platform on AWS with Databricks. This role combines hands-on architecture, data platform design, and cross-functional collaboration. You will be involved in defining data architecture standards, enabling scalable analytics solutions, and supporting data driven decision making across the organization.

Technology stack

AWS (S3, Redshift), Databricks, Spark / PySpark, dbt, Python, SQL, Git, MLflow, CI/CD pipelines, data orchestration tools, data governance and security tooling

Responsibilities

Design and evolve end-to-end data architecture on cloud platforms
Define data models, pipelines, and architectural standards for analytics and reporting
Lead architectural decisions for data ingestion, transformation, and storage using Databricks
Collaborate with data engineers and platform teams to ensure scalability and reliability
Support data governance, security, and compliance frameworks
Review implementations and ensure alignment with architectural principles
Communicate complex architectural concepts to both technical and non-technical stakeholders

Requirements

Proven experience working as a Data Architect in complex data environments
Hands on experience designing data platforms on AWS
Practical experience with Databricks and Spark based data processing
Strong knowledge of data modeling, data warehousing, and analytics architectures
Experience working with large scale data pipelines and cloud native services
Strong programming skills (Python, SQL)
Professional working proficiency in French
Professional working proficiency in English

Nice to have

Experience with data governance or data quality frameworks
Exposure to real time or streaming data architectures
Experience working with data science or machine learning teams
Background in regulated or enterprise scale environments

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