We are looking for a strategic and hands-on Data Domain Engineering Director to lead domain-based data product teams within Global Digital Engineering. In this role, you will be responsible for the technical delivery, operational reliability, and continuous evolution of high-value data products built on a unified data platform. You will work as a peer and strategic partner to business data domain leads, translating business priorities into scalable, reliable, and reusable data products.
Your Responsibilities
- Own the end-to-end lifecycle of domain data products, including design, development, operationalization, evolution, and retirement.
- Lead technical delivery across data ingestion, pipelines, transformations, APIs, and data engineering processes within the domain.
- Build data products using the unified data platform and ensure consistency and quality through a standardized data product journey.
- Define and enforce domain-level data product standards in line with enterprise governance, interoperability, and quality requirements.
- Ensure discoverability, usability, documentation, metadata quality, and adoption of domain data products.
- Take accountability for operational reliability and stability, including service level objectives, monitoring, and continuous improvement.
- Partner closely with business domain owners as a technical co-leader, ensuring equal standing and direct collaboration on priorities and outcomes.
- Coordinate with other data domain engineering directors, the data platform leadership, and data foundation teams to enable consistent and seamless delivery.
- Communicate technical decisions, risks, dependencies, and progress clearly to senior stakeholders and management.
- Establish and continuously improve release, operations, quality, and engineering processes.
- Develop and lead high-performing data engineering and data product teams through hiring, coaching, staffing, and capability development.
- Manage domain-level technical debt and architectural evolution, balancing delivery speed with long-term maintainability and scalability.
Technical Expertise
- Strong expertise in data product architecture and domain-oriented data product design.
- Proven experience building and operating scalable data products on modern cloud-based data platforms.
- Deep understanding of data engineering practices, including data ingestion, pipelines, transformations, and API-based data access.
- Ability to ensure operational stability, reliability, and quality of data products through service level objectives, monitoring, and observability.
Data Product and Domain Knowledge
- Strong understanding of data product management, including product value, consumers, lifecycle, adoption, and service levels.
- Ability to translate business priorities into domain data products aligned with measurable business outcomes.
- Experience working in federated data operating models and domain-based data ownership structures.
- Ability to drive interoperability, standardization, and reuse of data products across domains.
- Experience managing cross-domain dependencies and prioritization in a Data Mesh environment.
Leadership and Collaboration
- Proven leadership experience managing data engineering and data product teams.
- Experience staffing, developing, and coaching teams with the right mix of engineering, product, and domain capabilities.
- Ability to operate as a technical co-leader and strategic partner to business domain owners.
- Strong stakeholder management skills and the ability to align business priorities with technical delivery.
- Experience driving cross-domain collaboration in federated data organizations.
- Ability to build a strong data product mindset and ownership culture focused on accountability, quality, and continuous improvement.
* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.