Data Architect (all genders)

The Data Architect is responsible for designing, evolving, and governing the Enterprise Data Platform as a scalable, secure, high-quality, and high-performing foundation for operations, analytics, and AI/ML across SAP and other business applications, IoT/OT data, and unstructured data. This role focuses on overall architecture and seamless integration across the solution landscape, including data distribution, ingestion, governance, quality management, storage, processing, and access layers. The role drives platform standardization, usability, and cost efficiency while enabling centralized and self-service data consumption and operational data-management processes.

Principal Duties and Responsibilities

• Define and govern scalable enterprise data platform architecture across lakehouse, warehouse, real-time, and batch workloads for analytics, AI/ML, self-service, and data products.
• Establish standards for data ingestion, distribution, governance, and management.
• Define architecture principles for storage, processing, access, and integration, including APIs, BI, and semantic layers.
• Ensure support for batch, streaming, and event-driven workloads across structured and unstructured data sources, including SAP, business applications, and IoT.
• Design reusable platform services and components to accelerate delivery across domains.
• Implement an enterprise data-governance framework covering metadata, catalog, lineage, ownership, quality, and policies.
• Ensure security by design, including classification, RBAC/ABAC, encryption, and data protection.
• Enforce data-quality frameworks across applications and pipelines.
• Ensure compliance with regulatory, security, and enterprise standards.
• Architect for performance, scalability, cost efficiency, and high availability.
• Define monitoring, observability, alerting, and SLA/SLO-driven reliability standards.
• Define best practices for DataOps, CI/CD, IaC, and platform lifecycle management.
• Collaborate with engineering, data science, BI, and architecture teams.
• Enable self-service analytics, governed consumption, and data-product development.
• Provide architectural guidance and act as technical authority on data topics.
• Ensure adherence to security, compliance, and data-protection standards.

What You Need to Succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 7+ years of proven experience in data architecture, enterprise data platforms, or data engineering leadership.
• Demonstrated experience architecting enterprise-scale data platforms.
• Strong expertise in modern data platform technologies, including Databricks, Snowflake, and Lakehouse/Delta Lake architectures, and the ability to translate business and architecture requirements into platform design.
• Strong knowledge of data architecture, integration, and modeling approaches, including conceptual, logical, and physical modeling.
• Solid understanding of data-processing patterns, including batch, streaming, operational data flows, and serving layers.
• Proficiency in Python and SQL.
• Familiarity with data mesh, domain-oriented architectures, and federated governance.
• Strong experience with cloud platforms, preferably Azure, containerization, and integration technologies.
• Experience with orchestration and automation patterns for data platforms.
• Solid understanding of ETL/ELT processes, data warehousing, and data-integration principles.
• Proven track record of defining and implementing DevOps, DataOps, and CI/CD practices for data platforms.
• Experience with metadata, governance, and data-quality frameworks, including data catalogs, lineage tracking, data-quality management, and data-ownership models.
• Strong systems thinking and architectural mindset.
• Ability to balance standardization and flexibility across domains.
• Excellent stakeholder communication and alignment skills.
• Proven ability to influence without authority across multiple teams.
• Product-oriented mindset, treating the data platform as a product.

Our Offer to You

• Contract of employment with long-term cooperation.
• Annual reward.
• Flexible working hours.
• Hybrid work model.
• Diverse and inclusive workplace.
• Festive benefits paid in April and December.
• Medical care with a basic dental package, with the option to extend coverage.
• Option to extend medical care to family members.
• Life insurance with possible extended scope.
• Sports card.
• Language courses.
• Extensive training offer to support development.
• Wellbeing activities and CSR initiatives.
• Discounts for meals and special offers at Platan Business Park.

Recruitment Process

• CV selection; selected candidates are contacted.
• Phone screening with a recruiter, approximately 15 minutes.
• Initial video interview with the Manager and Recruiter, approximately 1.5 hours.
• In-person office meeting with the Manager, approximately 1 hour.

Equal Opportunity Employment

Equal consideration is given to candidates regardless of race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity, genetic information, or other protected classification.