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Data Architect

  • Belgrad
  • Kluż-Napoka
  • Kraków
  • Larnaka
  • Łódź
  • Lublin
  • Remote.Bulgaria
  • Remote.Poland
  • Ryga
  • Sofia
  • Warna
  • Warszawa
  • Wrocław
Mały zespół (1-10 osób)

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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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