Senior Data Architect
⚲ Kraków
27 300 - 31 500 PLN (B2B)
Wymagania
- SQL
- Python
- Cloud
- GCP
- Data management
- Security
- Communication skills
- Azure (nice to have)
- AWS (nice to have)
Opis stanowiska
O projekcie:
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
We are seeking a highly experienced Senior Data Architect to define and govern target data architectures for large-scale analytical platforms. In this role, you will ensure data is treated as a strategic enterprise asset, applying robust design standards, governance, and security controls.
You will combine deep technical expertise in data modelling and integration with strong stakeholder collaboration skills, creating scalable data solutions that enable trusted analytics, reporting, and downstream consumption across the organisation.
Sounds like your kind of challenge?
What you get in return
- Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.)
- Hybrid work setup – 2 days from the office per week
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
Wymagania:
- 10+ years’ experience in data architecture and modelling (conceptual, logical, physical), including documentation of complex enterprise structures.
- Strong proficiency in SQL and Python, ideally applied in cloud environments (GCP or similar).
- Comprehensive understanding of data management best practices: metadata, lineage, security, governance, and compliance.
- Experience establishing data patterns and architectural standards for integration and consumption layers.
- Excellent English communication skills, including producing technical documentation and facilitating design workshops.
Nice to have:
- Knowledge of enterprise and IT architecture alignment, and how data fits within overall architecture frameworks.
- Experience in large, matrix organisations with complex stakeholder structures.
- Familiarity with data governance and metadata tools (Collibra, Erwin, Dataplex) and cloud technologies (Azure/AWS/GCP).
- Ability to produce clear technical presentations and communicate trade-offs to diverse audiences.
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Codzienne zadania:
- Define and maintain enterprise data architecture standards, including canonical data models, metadata, and reference data frameworks.
- Own the target-state architecture, including conceptual, logical, and physical data models, as well as end-to-end data flows.
- Design and govern scalable data integration patterns (batch and streaming), ensuring interoperability across multiple systems and platforms.
- Set and enforce policies on data quality, lineage, security, and retention, working closely with engineering and governance teams.
- Translate business requirements into architecture artefacts: data models, data-flow diagrams, interface contracts, and non-functional specifications.
- Act as a Data Architecture SME, supporting engineers, QA, product owners, and analysts in design decisions and technical discussions.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
We are seeking a highly experienced Senior Data Architect to define and govern target data architectures for large-scale analytical platforms. In this role, you will ensure data is treated as a strategic enterprise asset, applying robust design standards, governance, and security controls.
You will combine deep technical expertise in data modelling and integration with strong stakeholder collaboration skills, creating scalable data solutions that enable trusted analytics, reporting, and downstream consumption across the organisation.
Sounds like your kind of challenge?
What you get in return
- Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.)
- Hybrid work setup – 2 days from the office per week
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
Wymagania:
- 10+ years’ experience in data architecture and modelling (conceptual, logical, physical), including documentation of complex enterprise structures.
- Strong proficiency in SQL and Python, ideally applied in cloud environments (GCP or similar).
- Comprehensive understanding of data management best practices: metadata, lineage, security, governance, and compliance.
- Experience establishing data patterns and architectural standards for integration and consumption layers.
- Excellent English communication skills, including producing technical documentation and facilitating design workshops.
Nice to have:
- Knowledge of enterprise and IT architecture alignment, and how data fits within overall architecture frameworks.
- Experience in large, matrix organisations with complex stakeholder structures.
- Familiarity with data governance and metadata tools (Collibra, Erwin, Dataplex) and cloud technologies (Azure/AWS/GCP).
- Ability to produce clear technical presentations and communicate trade-offs to diverse audiences.
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Codzienne zadania:
- Define and maintain enterprise data architecture standards, including canonical data models, metadata, and reference data frameworks.
- Own the target-state architecture, including conceptual, logical, and physical data models, as well as end-to-end data flows.
- Design and govern scalable data integration patterns (batch and streaming), ensuring interoperability across multiple systems and platforms.
- Set and enforce policies on data quality, lineage, security, and retention, working closely with engineering and governance teams.
- Translate business requirements into architecture artefacts: data models, data-flow diagrams, interface contracts, and non-functional specifications.
- Act as a Data Architecture SME, supporting engineers, QA, product owners, and analysts in design decisions and technical discussions.
🔍 Dekoder Ogłoszenia
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define and govern target data architectures for large-scale analytical platforms
Oczekuje się, że będziesz tworzyć i egzekwować standardy architektoniczne dla istniejących lub dopiero powstających platform danych, co może oznaczać dużą odpowiedzialność za istniejący bałagan lub brak jasnej wizji.
🔴
ensure data is treated as a strategic enterprise asset
Twoja praca będzie polegać na przekonywaniu innych działów i zarządu o wartości danych, co może być trudne w organizacjach o niskiej dojrzałości danych.
🔴
strong stakeholder collaboration skills
Będziesz musiał/a spędzać dużo czasu na negocjacjach i ustaleniach z różnymi grupami interesariuszy, co może być czasochłonne i frustrujące.
🔴
Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
Choć brzmi to elastycznie, często oznacza to preferencję pracodawcy dla modelu B2B ze względu na niższe koszty i mniejszą odpowiedzialność.
🟡
Hybrid work setup – 2 days from the office per week
Oznacza to, że będziesz musiał/a dojeżdżać do biura, co może być uciążliwe w zależności od lokalizacji i kosztów.