Data Domain Engineering Director - REF5612C

As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries.

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.

Qualifications

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.

Additional Information

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.