Data Architect (all genders)
工作地 华沙, Masovian Voivodeship, 波蘭 发布日期 June 11, 2026 职位 ID 22209Our Opening and Your Responsibilities
The Data Architect is responsible for designing, evolving, and governing METTLER TOLEDO’s 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, ensuring seamless integration of different solutions in the overall solution landscape, including data distribution, data ingestion, data governance, data quality management, data storage, processing, and access layers. The Data Architect drives platform standardization, usability, and cost efficiency while enabling not only centralized and self-service data consumption use cases, but also on the 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 (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.
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, 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.
Our Offer to You
- 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.
*We are focusing on entertainment and supporting your physical and mental health – check out our LinkedIn profile!
The recruitment process consists of the following steps:
- 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)
The information obligation arising from Article 18 [3ca] of the Labor Code is fulfilled before establishing the employment.
About Mettler Toledo
METTLER TOLEDO is a global leader in precision instruments and services. We are renowned for innovation and quality across laboratory, process analytics, industrial, product inspection, and retailing applications. Our sales and service network is one of the most extensive in the industry. Our products are sold in more than 140 countries, and we have a direct presence in approximately 40 countries. For more information, please visit www.mt.com.
Equal Opportunity Employment
We are an equal opportunity employer and value diversity at our company. We give consideration for employment without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity, genetic information, or any other protected classification. You can find more details in our Equal Employment Opportunity Policy.
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