Data Domain Engineering Director

Company Description

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.

Job Description

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.