Data Architect
ref nr: 244/4/2025/KG/90675
In Antal we have been dealing with recruitment for over 20 years. Thanks to the fact that we operate in 10 specialised divisions, we have an excellent orientation in current industry trends. We precisely determine the specific nature of the job, classifying key skills and necessary qualifications. Our mission is not only to find a candidate whose competences fit the requirements of the given job advertisement, but first and foremost a position which meets the candidate’s expectations. Employment agency registration number: 496.
Data Architect
Position: Data Architect
Location: Kraków hybrid
Employment Type: Full-time | B2B
Are you passionate about designing data ecosystems that drive real business value? We are looking for a Data Architect to define and guide our data architecture strategy, enabling robust, secure, and scalable data solutions across the organization.
Key Responsibilities:
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Support a team of Data Architects in designing and implementing scalable, business-aligned data architecture solutions.
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Define and communicate a strategic vision for enterprise data architecture covering data integration, modeling, governance, and management.
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Collaborate with product owners, solution architects, and data engineers to translate data requirements into actionable architecture designs.
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Ensure data quality, security, and compliance by implementing data governance frameworks and protection standards.
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Promote the adoption of data best practices, architecture standards, and data management processes.
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Mentor team members and foster a culture of innovation, collaboration, and continuous improvement.
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Stay current with industry trends, technologies, and best practices, evaluating and recommending new tools and methodologies.
Required Skills:
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Proven experience in enterprise-level data architecture design and implementation.
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Deep understanding of data architecture principles, data modeling, integration, and metadata management.
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Ability to translate complex business needs into technical architectural solutions.
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Strong knowledge of data governance, data quality, and data protection standards.
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Excellent communication and stakeholder engagement skills.
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Strong leadership and consulting mindset.
Nice to Have:
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Experience with cloud platforms (AWS, Azure, GCP).
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Familiarity with Big Data technologies (Hadoop, Spark).
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Knowledge of industry models (BIAN, FSDM, BDW) is a plus.
