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Data Architect

  • Belgrade
  • Cluj-Napoca
  • Krakow
  • Larnaca
  • Lodz
  • Lublin
  • Remote.Bulgaria
  • Remote.Poland
  • Riga
  • Sofia
  • Varna
  • Warsaw
  • Wroclaw
Small team (1-10 people)

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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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We offer

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Vacation

As per the laws of your country. We do ask you to take a proper rest

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Health insurance

We help you to take out an insurance policy for you and your loved ones

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Sick pay

10 days without a doctor's note, afterwards - as per the laws of your country

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Time off for state holidays

According to the official calendar, regardless of the client’s schedule

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Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

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Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract
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FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

Learn more about what we do here.

DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

Learn more about how we work here.

At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

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There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

Learn how we support both newcomers starting their careers and experienced professionals looking to grow further.

DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

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At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

Learn more about our company >here.

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

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DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.

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At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.

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