Senior Data & AI Architect Manager

Senior Data & AI Architect Manager

Miejsce pracy: Siemianowice Śląskie

Technologies we use

Expected

• Microsoft Azure

Your responsibilities

• Own and evolve the enterprise data architecture – source systems, integration patterns, data warehouse layers, and the consumption layer – and keep the target architecture and roadmap documented and up to date.
• Design, build, and maintain trusted conceptual, logical, and physical data models across ERP, MES, CRM, finance, supply chain, and operational systems, including master data and shared business definitions.
• Define and enforce architectural standards for integration, data modelling, naming, security, and platform use, and review solutions delivered by internal teams, consultants, and external partners against them.
• Set the direction for data governance, data quality, lineage, and access management, so that data across the business is documented, trusted, and compliant.
• Design the architecture behind practical AI initiatives – LLMs, AI agents, RAG architectures, automation, and prompt engineering – including the data products, semantic and vector layers, and integration patterns they depend on.
• Translate business needs into prioritized data, analytics, and AI roadmap, and into scalable solutions that deliver measurable outcomes.
• Work hands-on in the platform with modelling, pipelines, performance, cost, and troubleshooting across the full consolidation landscape.
• Act as technical lead for the data team – setting technical priorities, reviewing work, mentoring engineers and analysts, and supporting people in achieving ambitious goals.
• Work closely with business stakeholders, developers, data engineers, consultants, and external delivery teams.
• Challenge inefficient ways of working and identify opportunities to simplify, automate, and improve business processes.

Our requirements

• Proven experience as a data architect, or in a comparable senior technical role, with end-to-end responsibility for architecture in a complex system landscape.
• Strong data modelling skills across dimensional, normalised, and layered (e.g. medallion or data vault) approaches, and the judgement to know when to apply which.
• Strong understanding of data flows in a manufacturing business and how operational, financial, commercial, and management information connects.
• Experience consolidating data from multiple systems and business functions into a consistent foundation for analytics, reporting, process optimisation, and AI-driven solutions.
• Hands-on expertise in modern data platforms, preferably Microsoft Fabric, with the ability to contribute directly to architecture, data engineering, analytics, troubleshooting, and implementation.
• Experience with integration architecture and patterns – APIs, event and streaming, and batch ETL/ELT – across ERP, MES, and other operational systems.
• Practical experience with data governance, data quality, master data, lineage, and security and access models.
• Good understanding of modern AI technologies, including LLMs, AI agents, RAG architectures, automation, and prompt engineering, and of what these require from the underlying data architecture.
• Ability to set technical direction and roadmaps, and to document and communicate architecture so that both technical and business audiences can act on it.
• Practical ability to distinguish genuine business opportunities from technology hype and focus on measurable business outcomes.
• At least 5 years of experience in a senior data, architecture, or analytics role, including technical leadership of teams and steering of external delivery partners.
• Strong ownership, delivery focus, and ability to follow initiatives through to completion in changing environments.
• Excellent stakeholder management skills across all levels of the organisation and with external delivery partners.
• Strong communication skills in English.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• fruits
• retirement pension plan
• preferential loans
• coffee / tea
• drinks
• parking space for employees
• holiday funds
• christmas gifts

Powers of the Position and success criteria

• You own the architectural decisions for Faerch's data platform – data models, integration patterns, and platform standards – with the mandate to set and enforce them across internal teams and external delivery partners.
• Within your first 6–12 months, you will have established yourself as a trusted data and AI architect, with a documented target architecture and clarity around Faerch's data foundation, priority use cases, and delivery roadmap.
• You will have consolidated key data sources into governed, well-modelled data products, improved confidence in reporting and analytics, and moved selected AI initiatives from idea to implementation and business adoption.
• Your work will support better decisions, more efficient processes, and a stronger digital foundation for Faerch's continued development.

Faerch Polska Sp. z o.o.

Faerch is a leading supplier of circular, rigid food packaging with integrated recycling capability. We serve food manufacturers, food service providers, and retailers around the world with our network of state-of-the-art production facilities across Europe and the US. Today, more than 5,600 employees are part of the Faerch Group. Faerch Group is part of the A.P. Moller Group.

Prosimy o dopisanie następującej klauzuli: Na podstawie art. 6 ust. 1 lit. a Rozporządzenia Parlamentu Europejskiego i Rady (UE) nr 2016/679 z dnia 27.04.2016 r. w sprawie ochrony osób fizycznych w związku z przetwarzaniem danych osobowych i w sprawie swobodnego przepływu takich danych oraz uchylenia dyrektywy 95/46/WE (Dz. Urz. UE L 119z4.05.2016, str.1), wyrażam zgodę na przetwarzanie moich danych osobowych przez PACCOR POLSKA SP. Z O.O. 41-100 Siemianowice Śl, ul. Budowlana 6, w celach związanych z organizacją aktualnych oraz przyszłych rekrutacji dla pracowników i współpracowników (tj. zatrudnienie w innej formie prawnej niż umowa o pracę) administratora. Jednocześnie, przyjmuję do wiadomości, iż przysługuje mi prawo dostępu do treści swoich danych, ich poprawiania, usuwania lub wycofania niniejszej zgody na przetwarzanie danych osobowych w dowolnym momencie.