Senior Data Architect @ Antal

11 hours ago

Remote Warszawa Kraków, Czech Republic Antal Full time
What We’re Looking For
  • 6+ years of experience in data engineering/analytics engineering, including at least 2 years in a Data Architect role.
  • Expert-level SQL skills.
  • Advanced knowledge of Python, Spark, Databricks, Azure, dbt (and willingness to work with internal frameworks).
  • Strong track record of designing and implementing data warehouses, ideally modern big data warehouses or lakehouse architectures.
  • Hands-on experience with star schema modeling and practical understanding of Kimball methodology.
  • Deep understanding of medallion architecture.
  • Proven experience delivering Big Data and Analytics solutions in production environments.
  • Solid grasp of modern Data & Analytics technologies and architectural patterns.
  • Expertise in optimizing Big Data queries, ETL processes, storage solutions, and partitioning strategies for high-performance analytics.
  • Familiarity with Parquet format, Delta Lake (ACID transactions, versioning, storage optimization, data integrity).
  • Strong understanding of the full lifecycle of analytical data products.
  • Excellent communication and cross-team collaboration skills.
  • Experience with CI/CD and Git (preferably GitLab).
  • Fluency in English.
Nice to Have
  • Experience with BI tools (Power BI / Tableau).
  • Knowledge of Unity Catalog in Databricks for centralized data governance.
  • Skills in defining and managing data quality frameworks, metadata management, and cataloging.
  • Expertise in RBAC (role-based access control) and data encryption for GDPR, CCPA, HIPAA compliance.
  • Ability to present complex concepts and technical solutions to diverse audiences.

Senior Data Architect

Location: Warsaw / Remote (Poland)
Department: Data & Analytics

We are looking for an experienced Senior Data Architect to design and drive the global data architecture strategy across InPost Group. In this role, you will shape the way we structure, manage, and leverage data across multiple markets, enabling innovation, scalability, and advanced analytics. This is a high-impact position where you will set the foundation for data-driven decision-making and empower teams worldwide to use data more effectively.

What We Offer

  • Impactful Work – Direct influence on strategic decision-making by shaping InPost’s global data architecture.
  • Cutting-Edge Tech – Work with Databricks, Azure, Spark, and other modern data technologies. Explore and implement innovative solutions at scale.
  • Professional Growth – Develop your skills through continuous learning, cross-functional projects, and opportunities to present your work to senior leadership. Mentor and inspire the next generation of data professionals.
  • Global Collaboration – Engage with stakeholders across multiple international markets and gain valuable global experience.
  • Data-Driven Culture – Be part of an organization that places data at the heart of decision-making.
  • Attractive Package – Competitive salary and benefits, including a cafeteria system (e.g. Multisport, private healthcare, shopping vouchers).
  • Flexible Work Setup – Choose between working remotely, from our modern offices in Kraków or Warsaw, or a hybrid approach.
  • Inclusive Culture – Join a dynamic, collaborative workplace with employee initiatives ranging from sports teams and running clubs to volunteering and social events.

This is a unique opportunity to design and lead InPost’s global data architecture strategy, setting the stage for innovation, advanced analytics, and AI-driven solutions across multiple markets.

,[Data Architecture Strategy – Define and implement a global data architecture and deployment strategy that integrates diverse source systems across InPost Group, addressing the specific needs of multiple international markets., Data Governance & Standards – Establish and enforce data naming conventions, harmonize existing standards, and ensure consistent practices across the organization to improve clarity, collaboration, automation, and AI adoption., Stakeholder Collaboration – Work with senior stakeholders across all InPost markets to identify and prioritize data initiatives that maximize business value., Innovation & Best Practices – Stay ahead of emerging technologies and trends in data architecture, recommending and implementing innovative solutions to enhance InPost’s data capabilities., Mentorship & Knowledge Sharing – Guide data engineering teams by providing training, mentoring, and strategic direction in data modeling techniques, tools, and frameworks., Documentation – Create comprehensive, multi-layered technical documentation that clearly describes data architecture solutions and standards across InPost Group.] Requirements: Data engineering, SQL, Python, Spark, Databricks, Azure, dbt, Data warehouses, Big Data, ETL, CI/CD, Git, GitLab, Power BI, Tableau, RBAC, GDPR, CCPA, HIPPA

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