Enterprise Data Architect

Enterprise Data Architect

Ignitis

Vilnius, Lithuania

We are looking for an experienced Data Architect to join the IT Architects team, where you’ll be responsible for designing and governing the group-wide and company-level data landscapes and ensure that data is trusted, consistent, accessible, and AI-ready across all companies within the Ignitis group. Although this role collaborates closely with business teams, the core of the job requires deep data expertise: designing models, defining standards, improving data quality, and ensuring that our centralized platforms are used effectively and consistently. If that speaks to you, we’d be happy to welcome you to our team!

Take YOUR part in #EnergySmart!

You will contribute to the creation of a green and secure energy ecosystem by:

• Defining and maintaining master data models, establishing and coordinating group-wide and company-level data ownership, stewardship, and accountability
• Developing deep understanding of core energy domains to translate business requirements into scalable data models and structures
• Developing data quality rules, controls, monitoring, leading data profiling and cleansing strategies
• Creating data foundations required for AI by ensuring model input data is reliable, versioned, and governed
• Designing and maintaining conceptual, logical, and physical data models across domains, mentoring group IT architects to design solutions and integrations based on defined data models
• Defining standards and reusable patterns for usage of centralized data platforms and data management tools
• Taking an active role in promotion of data literacy across the group and mentoring data owners and data analysts in the best data management practices

Required for this position:

• 5+ years of progressive experience transitioning from hands-on data engineering or development roles into data architecture
• Deep experience in data modeling (conceptual/logical/physical)
• Strong expertise in Data Governance and Master Data Management principles and Data Quality frameworks
• Hands-on experience with Hybrid On-Premises and Cloud platforms
• Knowledge of security, IAM, GDPR, and compliance standards
• Ability to influence and align stakeholders, ensuring that data initiatives result in real implementation rather than theoretical concepts
• Strong sense of ownership, resilience, and a proactive problem-solving mindset
• Fluency in English language (both speaking and writing)