Data Architect – Group Data Architecture (f / m / x)

Description

Data Architect – Group Data Architecture

DB Global Technology is Deutsche Bank’s technology centre in Central and Eastern Europe. Since its set-up in 2013, Bucharest Technology Centre (BEX) has constantly proven its capacity to deliver global technology products and services, playing a dynamic role in the Bank’s technology transformation.

We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking. We are an essential part of the Bank’s technology platform and develop applications for many important business areas.

The Data Architecture team with Group Architecture is responsible for delivering enterprise wide data architecture standards, tools and change initiatives, executing in-line with the Bank’s data strategy.

Your role will be part of a team defining steps to advance and accelerate progress towards our target Data Architecture and in meeting new regulatory requirements.

The role covers analysis / investigation (current state, problem statement, stakeholder inputs), defining and documenting the approach (management friendly overviews and more detailed requirements where appropriate) and agreeing the approach with stakeholders within the Chief Technology Office and in business aligned IT Domains.

Responsibilities

• Being part of the Data Architecture team within Group Architecture, providing strategy guidance, best practice design for the enterprise.
• Define and drive the data architecture standards and requirements for AI that need to be enabled and used
• Identity and support the creation of AI use cases focused on delivery the data architecture strategy, data governance tooling and deployment of a mesh architecture
• Identify AI / ML use cases and architect pipelines that integrate data flows, data lineage, data quality. Embed AI-powered data quality, detection and metadata enrichment to accelerate data discoverability
• Define data science roadmaps, aligning AI / ML initiatives with business goals
• Identify optimal AI integration points with Enterprise Data architecture
• Develop AI / ML capabilities for automated data classification, metadata tagging, and PII / sensitive data detection
• Establish a metadata-driven architecture that allows seamless integration of AI capabilities into governance workflows.
• Collaborate with Domain / Data architects to define and design data products optimized for analytics, scalable data platforms – enterprise-level solutions that align with data strategies, architectural principles for continuous driving towards target state data architecture
• Establish hybrid data pipelines (data virtualization, federation, cloud integration), define patterns for data migration of on-premises data workloads to GCP
• Architect scalable, secure, and cloud-native data solutions to support machine learning pipelines and model lifecycle

Skills

Experience of 7+ years in the following areas :

Desired :

Well-being & Benefits

Emotionally and mentally balanced : we support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health

Physically thriving we support you managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive

Socially connected : we strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and wellbeing.

Financially secure : : we support you to meet personal financial goals during your active career and for the future

We strive for a in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.