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Data Architect
As a Senior Data Architect, you will lead a team responsible for driving our company's data strategy and architecture. Your role involves leveraging data analytics, AI, and various data management techniques to enhance data quality, analytics capabilities, and data utilization.
Locality
Bratislavský kraj
Focus
Data, Big Data
Salary
from 3500€
Job description, responsibilities and duties
- Leadership: Lead and nurture a high-performing team.
- Enterprise Architecture: Develop and implement an aligned data architecture.
- Data Management: Oversee real-time and batch data management, establish data governance policies.
- Data Science & AI: Provide strategic direction for data science and AI initiatives.
- Data Analytics: Apply advanced analytics techniques and promote data-driven decision-making.
Employee perks, benefits
- Possibility to benefit and learn from our international, talented and passionate community
- Great learning curve through ownership and creative freedom
- Interest groups and clubs: Take part in discussions and get involved in projects. Numerous interest groups invite you to engage with a topic
- Health Care – Taking care of your health is important. That’s why we contribute to your above standard medical examination and provide a helpline in case of hard lifetime situations. You also receive a salary compensation during sick leave
- Work-Life-Balance – Sabbatical, paternity leave, contribution to marriage & childbirth, 4 days of extra holiday per year, contribution to the 3rd pillar and MultiSport card. This is how we promote a balance between work, leisure, and family
- New way of work: With our flexible working hours model we want to make your life less complicated. Combining the best of both worlds, remote and office time
- Employee Referral Program – Become a talent scout for career opportunities in IT. We are rewarding every successful referral for the company
- Language trainings to improve your German & English – Learning a new language unites. We support you with appropriate language courses where you participate together with your colleagues.
- Thanks to our corporate benefits partners, you can also receive a whole bunch of discounts in different areas
Prerequisites and personality skills
- Languages: Fluent English; German is an advantage
- Leadership Experience: Proven leadership in data management, analytics, or enterprise architecture.
- Expertise: Data processing, metadata management, MDM, data modeling, data science principles.
- Graph Concepts: Strong knowledge of RDF, labeled property graphs (LPG).
- Technology Familiarity: Data analysis tools, AI/ML algorithms, Big Data technologies, streaming technologies, cloud providers (AWS, Google Cloud, and Azure).
- Education: University degree.
About company
The international technology company.
