Data Architect

Remote.Bulgaria
Remote.Poland
Белград
Варна
Варшава
Вроцлав
Клуж-Напока
Краков
Ларнака
Лодз
Люблин
Рига
София

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Position overview

We are looking for a Data Architect to help define and build the next generation of a data platform within a large scale modernization project. The project involves transitioning from a monolithic system to a services based architecture. You will play a key role in shaping the current state understanding, target architecture, and data roadmap, working closely with engineering, product, and business stakeholders.

This is a hands on architectural role focused on clarity, structure, and forward looking design rather than legacy maintenance. You will help establish a unified data strategy, improve efficiency, reduce infosec risks, and prepare the foundation for future ML and AI capabilities.

Responsibilities

Document and validate the as is data architecture, including data flows, storage, pipelines, and integrations.
Design the target data architecture, with strong consideration for modern lakehouse patterns and scalable cloud native solutions.
Evaluate current tooling such as DBT, AWS Glue, and PostgreSQL, and recommend improvements or replatforming paths.
Collaborate with platform engineering to define event driven data ingestion using Kafka and protobuf, and shared compute patterns.
Contribute to the creation of a data product roadmap, including milestones, dependencies, and architectural priorities.
Define and promote data standards, terminology, and canonical models across teams.
Partner with engineering and business subject matter experts to ensure data architecture supports product needs and future ML and AI workflows.
Provide architectural guidance on security, governance, and access control.
Produce clear architectural artifacts such as diagrams, models, and documentation for technical and non technical audiences.
Support the onboarding and transition to a future permanent Data Lead.

Requirements

Proven experience as a Data Architect, Senior Data Engineer, or similar role in modern cloud environments.
Strong understanding of data modeling, ETL and ELT, data governance, and distributed data systems.
Experience with modern data platforms such as Databricks, Snowflake, or equivalent lakehouse or warehouse technologies.
Familiarity with DBT, AWS Glue, or similar transformation and orchestration tools.
Experience designing event driven data ingestion using Kafka and streaming pipelines is a strong plus.
Ability to create clear architectural documentation and communicate complex concepts simply.
Comfort working in environments undergoing modernization and organizational change.
Collaborative mindset with the ability to work across engineering, product, and business teams.
Interest in or exposure to ML and AI workflows, MLflow, or model driven architectures is a plus.
Exposure to data lakehouse concepts and unified governance layers.

Nice to have

Experience in organizations transitioning from monolithic to microservices architectures.
Understanding of infosec considerations in data architecture.
Ability to influence without authority and guide teams through ambiguity.

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