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Data/Application Architect (Big Data & AI)

Cognizant · Remote · Katowice

Job description

About the role

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.

Key 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

Requirements

Fluency in English and Polish

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

What We Offer

Private healthcare, life insurance, and cafeteria benefits

Training programs and certifications

Inclusive culture and volunteering opportunities

Employee referral program

Collaborative, innovative environment

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