- 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 (APIs, BI, semantic layers),
- Ensure support for batch, streaming, and event-driven workloads across structured and unstructured data sources (SAP, business applications, IoT),
- Design reusable platform services and components to accelerate delivery across domains,
- Implement enterprise data governance framework (metadata, catalog, lineage, ownership, quality, policies),
- Ensure security-by-design (classification, RBAC/ABAC, encryption, 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.
- 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, with 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 in 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.
- Contract of employment [umowa o pracę], we are looking for a long term cooperation📝,
- Annual reward,
- Flexible working hours,
- Hybrid work model🏡,
- A diverse and inclusive workplace.
- Festive benefits paid in April and December💸,
- Medical care with basic dental package (Medicover), with possibility to extend to Damian Medical Center?,
- Possibility to extend medical care to family members,
- Life insurance with possible extended scope,
- Sports card (Medicover),
- Language courses,
- A vast training offer to support your development,
- Wellbeing activities, CSR, with space for your initiatives*
- Discounts for meals and special offers at Platan Business Park.
- CV selection – we contact selected candidates
- Phone screening with a recruiter (approx. 15 min)
- Initial interview with the Manager and Recruiter (video conference, approx. 1,5 hour)
- F2F meeting at the office with the Manager (approx. 1 hour)
你心所属，梅特勒托利多助力职业发展。
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