Our Opening and Your Responsibilities
Become one of the key architects behind METTLER TOLEDO's data future. đź’«
This is a unique opportunity to join at the very beginning of a transformational journey and play a pivotal role in building a modern enterprise data platform that will power analytics, AI/ML, SAP, IoT, and data-driven decision-making across our global organization.
As our Data Architect, you will be responsible for designing, evolving, and governing the Enterprise Data Platform, creating a scalable, secure, high-performing, and trusted data foundation connecting SAP and other business applications, IoT/OT environments, and unstructured data sources.
We are looking for a hands-on architect who has not only designed enterprise data platforms but has successfully built, implemented, and scaled them.
In this strategic role, you will shape architecture standards, governance models, and platform strategy while ensuring seamless integration across data ingestion, storage, processing, quality, governance, and access layers.
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 pracÄ™], we are looking for a long term cooperationđź“ť,
- Annual reward,
- Flexible working hours,
- Hybrid work model (3 days of work from the office per week)🏡,
- A diverse and inclusive workplace.
- Festive benefits paid in April and Decemberđź’¸,
- 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 leading global supplier of precision instruments and services. We are recognized as an innovation leader and our solutions are critical in key R&D, quality control, and manufacturing processes for customers in a wide range of industries including life sciences, food, and chemicals. We operate throughout the world with a culture shaped by innovation and international flair.
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.
For those who prioritize precision, Mettler Toledo is precisely where you belong.
Job Reference #
22209
Preferred Location
Mazowieckie
Warsaw
Job Type
Full-time
Legal Entity
MT-PL Warszawa SBC
ul. Poleczki 21 02-822 Warszawa Polska