Data Platform Architect - Enterprise Analytics & AI (Hybrid)

Mettler-Toledo International, Inc; Województwo mazowieckie; Hybrid; PLN 260,000 - 420,000; Full time

Benefits offered by this job

Contract of employment

Annual reward

Hybrid work model

Medical care

Life insurance

Sports card

Language courses

Wellbeing programs

Job summary

METTLER TOLEDO is seeking a Data Architect to design, evolve, and govern our Enterprise Data Platform as a scalable, secure foundation for analytics, AI/ML, and data products across SAP, IoT, and BI. You will drive platform standardization, data governance, and cost efficiency while enabling self-service analytics and governed data consumption.

The role requires leading architecture across lakehouse, real-time and batch workloads, with strong Python/SQL skills, data modeling expertise, and deep

Qualifications

• 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.
• Proficiency in Python and SQL.

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.
• 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.

Skills

Databricks

Snowflake

Python

SQL

Azure

Data Governance

Data Modeling

DevOps

CI/CD

DataOps

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field

Tools

Delta Lake

Job description

METTLER TOLEDO is seeking a Data Architect to design, evolve, and govern our Enterprise Data Platform as a scalable, secure foundation for analytics, AI/ML, and data products across SAP, IoT, and BI. You will drive platform standardization, data governance, and cost efficiency while enabling self-service analytics and governed data consumption.

The role requires leading architecture across lakehouse, real-time and batch workloads, with strong Python/SQL skills, data modeling expertise, and deep