Data Platform Solution Architect

HEINEKEN Global Shared Services; Województwo małopolskie; On-site; PLN 254,022 - 381,033; Full time

Job summary

HEINEKEN Global Shared Services in Poland is looking for a Data Platform Solution Architect to own solution architecture for Data Platforms. This role requires expertise in Databricks and Microsoft Azure, along with a bachelor’s or master’s degree in a related field and at least 6 years of experience in data architecture and engineering. The position involves developing reference architectures, engaging with stakeholders, and leading the adoption of data advancements in a dynamic environment.

Qualifications

• A bachelor’s or master’s degree in Computer Science, Data Science, Information Technology or related field.
• At least 6 years of relevant experience in data architecture, data engineering and platform architecture.
• Experience with enterprise-scale data platforms and integrating legacy and modern systems.
• Strong analytical and problem-solving abilities, focusing on practical and scalable solutions.

Responsibilities

• Own the solution architecture for Data Platforms.
• Develop reference architectures for Microsoft Azure & Databricks.
• Engage with data management stakeholders on platform enhancements.
• Introduce and adopt advancements in data platforms and automation.
• Define platform-level architecture principles and guide data engineering teams.
• Design enhancements for scalable data processing frameworks.

Skills

Data architecture

Data engineering

Cloud engineering

Platform architecture

Databricks

Azure Data Services

AI/ML platform engineering

Communication skills

Education

Bachelor's or master's degree in Computer Science, Data Science, Information Technology

Tools

Databricks

Microsoft Azure

Job description

Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best‑in‑class technology, and embedding a data‑driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!

Are you passionate about leveraging cutting‑edge technology to shape the future of data and AI technology? Do you thrive in dynamic environments, working with modern tools like Databricks, Azure, SAP BDC and a whole portfolio of latest cloud data management tools? If so, we have the perfect opportunity for you!

This role is part of the global Data Management organization that drives Connected Data across global markets and functions to accelerate value creation from analytics and AI. Strong, scalable data foundations are essential to unlock the value of data across our Global Functions and OpCos. As a Data Platform Solution Architect, you will play a crucial role in driving our data strategies and transforming how we manage, process, and analyze large‑scale data into consumable Connected Data products.

Your Responsibilities

• Own the solution architecture for Data Platforms in alignment with enterprise architecture, data technology product owners and the overarching HEINEKEN’s business goals and the Connected Data vision.
• Develop reference architectures for our Microsoft Azure & Databricks‑based analytics platform with clear architectural principles, patterns, and reusable components.
• Engage with the data management stakeholders and platform product owners on enhancements to their service and platform offerings and ensure seamless integrations across the multiple data platforms & tools.
• Introduce and adopt the latest advancements in data platforms, dataops, MLops, data engineering and automation, making them relevant in the HEINEKEN operating reality and apply this knowledge to continue to develop Data and AI capabilities within HEINEKEN.
• Define platform‑level architecture principles and collaborate, mentor and guide data engineering teams to design robust, scalable, reusable data pipelines and components.
• Design enhancements to our scalable data processing frameworks that support both streaming and batch workloads, aligning with our metadata‑driven architecture.
• Collaborate with cross‑functional teams to create solutions architecture for seamless ETL/ELT processes and drive performance optimisation contributing to continuous improvement in performance and scalability, pushing the boundaries of what’s possible with Apache Spark and Databricks.

Qualifications

• Have a bachelor’s or master’s degree in Computer Science, Data Science, Information Technology or related field.
• Have at least 6 years of relevant experience in data architecture, data engineering, cloud engineering and platform architecture, with a proven track record of leading data initiatives within a large enterprise environment.
• Have demonstrated experience in designing enterprise‑scale data platforms and integrating with both legacy and modern systems. Expertise in Databricks, Azure Data Services and AI/ML platform engineering for chatbots, AI agents, advanced analytics and intelligent automation.
• Be a strategic thinker with the ability to translate business needs into future‑proof platform capabilities with practical knowledge of frameworks and technologies such as vector databases, model serving, LLMs, MLOps, ML pipelines and NLP.
• Have strong leadership through influence; able to influence across market teams, delivery hubs and global functions.
• Have excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to non‑technical audiences.
• Have strong analytical and problem‑solving abilities, with a focus on delivering practical and scalable solutions.