Principal AI & Data Cloud Platform Engineer (B-1223)

Nálunk ezekkel fogsz foglalkozni:

• Design and own the Azure Native Data & AI Platform architecture
• Lead Azure Databricks platform implementation and evolution
• Define enterprise data, analytics, ML and AI platform standards and best practices
• Design Lakehouse and Medallion architectures
• Define the technical architecture and standards for enterprise MLOps capabilities
• Define patterns for operationalizing machine learning models from development through production
• Define standards for model lifecycle management, deployment and monitoring on the platform
• Drive the adoption and evolution of MLflow and related ML lifecycle capabilities
• Define reusable platform capabilities that enable Data Scientists to develop, deploy and operate machine learning solutions efficiently
• Establish architectural patterns for batch and real-time model inference and model serving
• Drive platform scalability, reliability, observability and performance
• Lead Infrastructure as Code adoption
• Design CI/CD standards and patterns for data, ML and platform components
• Drive automation across data and machine learning solution lifecycles
• Mentor engineering teams and provide technical leadership
• Collaborate with Data Scientists on productionization patterns and technical requirements for ML and AI solutions
• Collaborate with Security and Governance teams to ensure secure and governed data and AI workloads
• Evaluate emerging Azure, Databricks, Machine Learning and Generative AI capabilities
• Support enterprise architecture and technology roadmap planning

Te vagy az emberünk, ha:

• 7+ years of experience in Data Engineering, ML Engineering, Cloud Platform Engineering, or a related field.
• 3+ years of experience designing and developing enterprise-scale Azure Data Platforms or comparable cloud platforms on AWS or GCP.
• Strong experience with Azure Databricks, Apache Spark, and distributed/parallel data processing.
• 5+ years of hands-on experience with Python and strong SQL skills.
• Strong understanding of modern data architectures, including Delta Lake, Azure Data Lake Storage Gen2, and Azure Data Factory.
• Solid understanding of machine learning lifecycles, MLflow, and MLOps architecture, including model deployment and productionization patterns.
• Proven experience with CI/CD, Azure DevOps or GitHub Actions, and Infrastructure as Code using Terraform.
• Strong enterprise architecture experience, with the ability to design scalable, secure, and maintainable cloud data and AI platforms.
• Proven technical leadership and mentoring experience, with the ability to drive architectural decisions and take end-to-end ownership of complex initiatives.
• Excellent analytical, problem-solving, and communication skills, with the ability to communicate effectively with both technical and non-technical stakeholders.
• Excellent professional communication skills in English.

Előnyt jelent:

• Experience with Azure Machine Learning or comparable enterprise ML platforms.
• Experience with enterprise data governance and metadata management platforms such as Unity Catalog or Microsoft Purview.
• Experience with data quality frameworks, lineage, access governance, and data discovery.
• Experience with Feature Store concepts, model serving, and batch or real-time inference architectures.
• Experience with Docker, Kubernetes, and containerized workloads.
• Experience with Azure OpenAI, Large Language Models (LLMs), RAG, and vector database architectures.
• Experience with event-driven architectures and streaming technologies such as Azure Event Hubs or Kafka.
• Azure Solutions Architect certification.
• Databricks Professional Certification.

Van még érvünk:

• You’ll have the opportunity to take on meaningful responsibilities and make a real impact.
• Our flexible working model allows you to work from home most of the month, helping you balance work and everyday life.
• We look forward to seeing you in the office on team days, where you’ll enjoy a modern, comfortable and inspiring working environment.
• We offer an attractive benefits package, including a cafeteria package, , a company mobile phone and employee discounts.
• Your health and well-being matter to us. That’s why we provide health insurance to all our employees, which can also be extended to cover family members.
• We’re more than just a workplace – we’re a community. You’ll have plenty of opportunities to take part in community and CSR initiatives, as well as company events throughout the year.