
Data architect
Keskosenukailithuania · Kaunas, Lithuania
- Retail & Consumer Goods
- 1,001–5,000 employees
- Kaunas
Weak hiring record · median 64 days open
All reasons
- 50% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
We are on an exciting transformation journey to establish a more data-centric organization. As a **Data Architect** , you will own the architecture of the Data domain and play a key role in enabling our data-driven transformation.
You will work closely with the **Chief Data Officer** to enable the implementation of the data-driven strategy, collaborate with product teams on data assets and data products, and work closely with Master Data and Engineering teams on data quality, governance, and technology-related matters.
The role reports to the **Head of Architecture** for architectural governance and is part of the Architecture team, while working closely with the Chief Data Officer on the Data domain's strategic goals and delivery.
## **Responsibilities
**
- Own enterprise data architecture across business domains, defining data architecture principles, canonical data models, integration patterns, and target-state architecture to ensure consistency across business capabilities, applications, and data products.
- Govern and steer data products, including the data product catalogue, data product boundaries, ownership, and quality standards.
- Own the Data domain technology roadmap in collaboration with Engineering teams, defining current-state, target-state, and transition stages based on business priorities.
- Manage technology lifecycle within the Data domain, identifying the need for timely changes and improvements to prevent technical debt.
- Scan the horizon for emerging technologies and new capabilities within the Data domain and evaluate their potential for the organization.
- Define and architect solutions across cloud platforms such as AWS, GCP, and Azure, including streaming, ETL, serverless technologies, analytics, scalability, and cost considerations.
- Define architecture for AI-ready data analytics and drive PoCs with vendors to unlock new capabilities within the Data domain.
- Ensure operational data quality through strong governance and data quality gates throughout product development stages, in close collaboration with Master Data teams.
- Govern and establish standard data product data layers, including standardized data contracts, schemas, APIs, and metadata.
- Define CI/CD and deployment patterns for data technologies and data quality gates.
- Act as a technical bridge between business stakeholders, analytics, and Engineering teams, translating strategic transformation goals into a concrete and sequenced architecture roadmap.
- Act as the main technology and architecture partner for the Master Data team.
- Be part of the Architecture team, ensuring company-wide architectural principles and governance standards are consistently applied.
## **We offer
**
- Professional development, training, and career opportunities within the Kesko Senukai Group
- Additional health insurance after 6 months of employment
- Bonuses ranging from €600 to €1,700 for referring friends who are successfully hired
- SMART NET Gold loyalty program membership, with access to exclusive offers and discounts
- A partner discount platform with even more exclusive offers
- Additional benefits for important life events, such as the birth of a child, marriage, or bereavement
- An additional day off for your birthday
- Comprehensive onboarding, as well as a supportive and proactive team
- Team-building activities and company events
## **Requirements
**
- 7+ years of experience in architecture, data engineering, platform engineering, or a related field, including hands-on experience designing large-scale data platforms
- Proven experience with enterprise data architecture and the design of data platforms in complex organizations
- Experience leading or significantly contributing to a shift toward a data-product or data-mesh operating model, including data ownership, governance, quality, and consumption
- Strong hands-on experience with at least one major cloud platform and its streaming and analytics ecosystem, such as GCP (Pub/Sub, Dataflow, BigQuery) or equivalent AWS/Azure technologies
- Strong understanding of API design and data-serving patterns, including REST/GraphQL, API gateways, access control, and exposing curated data to internal or external consumers
- Strong understanding of data governance, data quality, metadata, data contracts, and Master Data concepts
- Experience working across multi-repository, polyglot technology environments and influencing architecture decisions across teams without direct reporting responsibility
- Strong communication skills, with the ability to present and explain architectural strategy to both technical teams and senior executives
- Ability to translate business and transformation goals into practical, sequenced architecture roadmaps
- Comfortable using AI tools in daily work for architectural analysis, research, solution design, and evaluation of emerging technologies
## **Nice to have
**
- Experience working across multiple cloud platforms, particularly AWS, GCP, and Azure.
- Experience with modern data mesh, data product, or domain-oriented data architecture implementations.
- Experience with AI/ML data architecture, advanced analytics, or AI-ready data platforms.
- Experience working with Master Data Management and enterprise data governance frameworks.
- Experience with Azure DevOps or equivalent CI/CD and deployment tooling.
- Experience evaluating new data technologies and leading vendor PoCs.
- Experience in large-scale transformation programs and highly centralized or complex organizational environments.
- Relevant cloud, data, or architecture certifications.
## Salary
6500 – 8000 € (gross, before taxes).
Skills
- AWS
- GCP
- Azure
- ETL
- Serverless
- Pub/Sub
- Dataflow
- BigQuery
- GraphQL
- Azure DevOps
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