Data Architect - Data Architecture Squad at METRO/MAKRO

Bucureşti, Bucharest, Romania -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Google Cloud Platform, Data Modeling, Data Solutions, Python, Data Mesh, Data Fabric, Lakehouse, Cloud Migration, Data Transformation, Data Pipelines, Data Storage, Technical Guidance, Collaboration, Communication, Architectural Principles

Industry

Wholesale

Description

Company Description About us: Passion for food. Hunger for tech. We make METRO digital. Today technology is driving the world. And at METRO.digital we are driving the technology for one of the leading international wholesalers specializing in food - METRO. From e-commerce to checkout, to delivery software, we work on a wide range of products to make each day a success for our customers and colleagues. With passion and ownership, we build the future of wholesale. You are driving to create smart solutions for customers around the globe? You want to grow in a flexible environment? Let the right career opportunity find you and join us! Job Description We are seeking a strategic and experienced Data Architect to join our globally distributed team. The core mission of this role is to design, define, and protect our global data architecture. You will be instrumental in creating scalable, reusable, and efficient data solutions that serve the entire organization. A key focus will be on driving cost control and optimization by implementing and enforcing architectural best practices across all data-related projects and platforms. Your responsibilities will include establishing clear documentation and standards for data processing, conducting architectural reviews, and managing the solution design acceptance for new data requests. This requires close collaboration with a diverse team of engineers, analysts, and business stakeholders across different regions. The ideal candidate will ensure our global data landscape is not only robust and secure but also a cost-effective asset that directly supports our worldwide business operations and strategic goals. Please note that this role is open only to candidates currently based in Romania. Your Responsibilities: Act as a hands-on data architect, directly shaping and implementing scalable, secure, and high-performing data solutions across Google Cloud Platform (GCP) and hybrid environments. Lead the end-to-end design and modeling of data architectures, translating strategic business goals into actionable technical roadmaps and robust, well-documented designs. Collaborate closely with engineering teams to build and optimize data models, pipelines, and storage solutions using modern technologies like dbt, Google Cloud Pub/Sub, Dataflow, Cloud Composer, Dataproc, and Dataform. Articulate and enforce the impact of architectural choices on non-functional requirements such as scalability, performance, availability, and security. Provide technical guidance and mentorship to development teams on data modeling, integration, and performance, fostering a culture of engineering excellence. Construct, advocate for, and drive the adoption of architectural principles, standards, and reference patterns at a company-wide level. Support cloud migration strategies with a sharp focus on data transformation, optimization, and ensuring long-term architectural consistency. Continuously research and evaluate emerging technologies and industry trends to inspire and drive architectural improvements both within and beyond your immediate area of responsibility. Inform and influence the technology evaluation process, applying a deep understanding of large-scale computing solutions and enterprise technology trends. Qualifications Required key competencies and qualifications: Proven experience as a hands-on Data Architect or in a similar senior engineering role with a track record of designing and implementing large-scale data solutions. Deep, hands-on mastery of Google Cloud Platform (GCP), especially Google BigQuery (advanced modeling, cost optimization, performance tuning, and orchestration). Extensive knowledge of diverse database technologies (relational, NoSQL) and modern data paradigms such as Data Mesh, Data Fabric, and Lakehouse. Strong hands-on proficiency in Python, with a commitment to applying Clean Code principles and software engineering best practices. Experience with the modern Google Cloud data stack, including technologies like dbt, Cloud Pub/Sub, Dataflow, Cloud Composer, Dataproc, and Dataform. A strong track record in engineering robust data solutions across both streaming and batch paradigms, particularly leveraging serverless technologies. Demonstrated ability to lead and collaborate effectively within cross-functional, globally distributed teams. Excellent communication skills in English (both written and verbal), with the ability to convey complex technical concepts with clarity to both technical and non-technical audiences. This resonates with you? Apply now! Additional Information What we offer at METRO.digital? Hybrid and agile work: thrive in a flexible, multicultural environment. At METRO.digital, we promote work-life balance through a hybrid working model. You’ll be part of self-organizing, multicultural teams that collaborate in an agile setup. People development: when you grow so do we! We want you to become the best version of yourself with individual and company-wide programs and trainings for people development. Focused among other on development, leadership, appreciation ... it´s time to upskill your career. Support with individual solutions: we are people-caring! We offer support whenever you need it - at every stage of your professional journey. Want to know more about all our benefits? Discover more here. Let´s connect soon. Apply for the role now! Position grade within our career framework: Technical Architect (Md8).

Responsibilities

The Data Architect will design, define, and protect the global data architecture, creating scalable and efficient data solutions. This role involves collaboration with engineers, analysts, and business stakeholders to ensure a robust and secure data landscape.