Data Platform & Architecture Lead

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About the Role
We are building a modern enterprise data platform to support our next phase of digital transformation, including SAP integration, internal application evolution, and advanced BI capabilities.

We are seeking a Data Platform & Architecture Lead to design, own, and evolve how data flows across our organization. This role is focused on data architecture, integration, modeling and database administration.

You will play a critical role in establishing a scalable, well-governed data foundation that enables consistent reporting, operational insights, and future AI capabilities.

What You’ll Do
1. Own Enterprise Data Architecture
Design and maintain the end-to-end data architecture across systems
Define canonical data models that unify data from SAP, internal applications, and financial systems
Establish standards for data structure, naming, and consistency

2. Design Data Pipelines & Orchestration
Architect and oversee data pipelines and transformation layers
Work with our internal ETL/orchestration platform to manage data flows
Ensure scalability, reliability, and observability of pipelines

3. Lead Multi-System Integration
Integrate data across:
SAP
Internal applications (Sales, Performance, Resourcing)
Financial planning tools (e.g., Anaplan)
Resolve inconsistencies and define a single source of truth

4. Enable BI & Analytics
Design analytics-ready data models (fact/dimension structures)
Partner with BI teams (Looker) to ensure consistent, scalable reporting
Support metric standardization across the organization

5. Drive Data Strategy & Maturity
Assess current data landscape and define a data maturity roadmap
Introduce best practices in:
Data governance
Data quality
Data lifecycle management

6. Collaborate Across Teams
Work closely with Engineering, BI, and Business stakeholders
Translate business requirements into scalable data solutions
Act as a bridge between technical and functional teams

Zamestnanecké výhody, benefity:

• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
• Flexible Work Environment – Work from our modern Bratislava office (Nivy Tower) or remotely from home.
• Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days.
• Long-term career – Permanent employment contract with opportunities for career growth.
• Attractive Benefits Package:
  Private health care & paid sick days
  25 vacation days (regardless of age)
  Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar
  Fully paid meal vouchers
  Multisport card with employer contribution
  Smartphone with 1TB data + Laptop
  Relaxing office environment: Fresh fruit, game room (PS4, table football), pet-friendly space
• Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days.
• Long-term career – Permanent employment contract with opportunities for career growth.

Informácie o výberovom konaní:
You are important to us! That's why you get a personal coach at our side who supports you individually. With our start-up mentality and our flat hierarchy, you have every opportunity to place your ideas and to put them into practice. In addition, after work, you have numerous opportunities to expand your internal network and get to know new faces through joint sports activities and team events.

Požiadavky na zamestnanca:

What We’re Looking For

Must-Have Experience

• Proven experience in Data Architecture or Senior Data Engineering roles
• Strong background in designing end-to-end data pipelines
• Experience with data modeling for analytics (fact/dimension, semantic layers)
• Experience integrating multiple systems (ERP, APIs, internal platforms)
• Proficiency in SQL and Python (or similar modern data tooling)
• Solid understanding of data warehousing and modern data architectures
  

Nice to Have

• Experience with orchestration tools (e.g., Airflow, Dagster, or similar)
• Familiarity with columnar databases (e.g., ClickHouse, Snowflake, BigQuery)
• Experience working with BI tools such as Looker
• Exposure to API-based data ingestion and semi-structured data (JSON)

​How to Stand Out

Candidates who stand out will be able to clearly articulate:

• A data platform or architecture they have designed
• How they integrated multiple systems into a unified model
• How they enabled BI or analytics through data modeling