Data/Application Architect (Big Data & AI)

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