Data Domain Engineering Director - REF5612C

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

Requirements

• ▹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
• ▹Strong understanding of data product management, including product value, consumers, lifecycle, adoption, and service levels
• ▹Experience working in federated data operating models and domain-based data ownership structures
• ▹Experience managing cross-domain dependencies and prioritization in a Data Mesh environment
• ▹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

Soft skills

About the company

Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group, ranked Hungary's most attractive employer in 2025 according to Randstad's representative survey. The company provides a wide portfolio of IT and telecommunications services with more than 5,300 employees, serving hundreds of large corporate customers in Germany and other European countries.