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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on modern data platforms with emphasis on scalable Data Hubs supporting analytics, reporting, and generative AI. Technologies used include Azure, Databricks, Delta Lake, Apache Spark along with Data Factory, ADLS, Synapse, Azure SQL, Event Hubs. Key responsibilities include designing and implementing data models, establishing data governance, access and security policies, automating data validation, and mentoring engineers.
from: 11 June 2026
to: 11 July 2026
salary not specifiedB2B contract (full-time)
Requirements
Expected technologies
Delta Lake
Apache Spark
Terraform
Kubernetes
Docker
Our requirements
- fluency in English
- strong expertise in Azure-based data platforms and Databricks
- deep knowledge of Databricks (primary tool), Delta Lake, Apache Spark
- experience with dimensional, relational, and NoSQL models
- strong background in data policies, lineage, and compliance
- proficiency with Data Factory, ADLS, Synapse, Azure SQL, Event Hubs
- experience with CI/CD, Terraform, Kubernetes/AKS, Docker
- ability to define strategy, mentor engineers, and drive adoption of best practices
- great ability to create and maintain clear architectural documentation
Your responsibilities
- designing and overseeing the implementation of scalable, efficient data models integrating multiple sources in the form of Data Hub
- defining patterns, templates, and best practices for data engineering
- establishing data governance, access policies, and security frameworks for data layer / Data Hubs
- ensuring efficient storage, retrieval, and processing of large-scale datasets
- preparing project documentation in accordance with internal procedures and processes (One Essentials)
- preparing solutions for streaming and batch data ingestion, transformation, and updating models
- implementing automated data validation, anomaly detection, and proactive issue resolution
- working with engineers, analysts, and AI/ML teams to align architecture with business needs
- maintaining comprehensive architecture documentation and mentoring engineers
About the project
As a Data Architect, you will define and implement the architecture, standards, and best practices for scalable Data Hubs that support analytical, reporting, operational, and Generative AI use cases. This role requires strategic thinking, deep technical expertise, and the ability to guide engineers, shape data governance, and ensure system scalability and performance.
A great opportunity for an experienced architect to set the direction for modern data platforms. Join us!
Benefits
- sharing the costs of sports activities
- private medical care
- life insurance
- dental care
- cafeteria benefits
COGNIZANT
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
This is how we work
Data/Application Architect (Big Data & AI)
I apply to:
COGNIZANT
Warszawa, Wola
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