Description
Join DB Global Technology, Deutsche Bank's technology center in Central and Eastern Europe. The Bucharest Technology Centre (BEX) delivers global tech products, driving the Bank's transformation.
You will join the OneMIS team, a global organization driving the transformation of Deutsche Bank Private Bank's management reporting and analytics landscape. OneMIS is the strategic MIS platform that delivers trusted data, standardized KPIs, and modern reporting capabilities, helping business users make informed decisions while replacing legacy reporting solutions with a scalable cloud-based architecture.
The OneMIS Solution Architect is responsible for shaping the architecture of Deutsche Bank's strategic MIS platform, ensuring that trusted management information is delivered through modern cloud technologies, governed data products, scalable reporting, and AI-enabled analytics capabilities.
Responsibilities
- Architect and design data, software, or technology solutions by studying information needs; collaborating with stakeholders to understand business needs.
- Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics.
- Architect cloud-native data and reporting solutions leveraging Google Cloud technologies and modern analytics platforms.
- Collaborate closely with Enterprise Architects, Product Owners, Data Engineers, and reporting teams to define roadmaps, standards, and best practices.
- Support migration from legacy reporting platforms to strategic solutions and contribute to platform modernization initiatives.
- Provide technical leadership, solution guidance, and mentoring to delivery teams.
Required Experience
- 7+ years of experience in Data Warehousing, Reporting, Analytics, or Data Platform solutions.
- Proven experience in Solution Architecture, Data Architecture, or Technical Leadership roles.
- Strong experience delivering enterprise-scale reporting and analytical platforms.
- Expert knowledge of data modelling (dimensional and relational).
- Strong SQL and data analysis skills.
- Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
Technical Skills
- Enterprise Data Warehousing, Data Platforms, Data Modelling, Data Governance, Metadata Management, KPI & Data Product Design
- Google Cloud Platform (preferred), BigQuery, Dataproc, Data Orchestration, Cloud-Native Analytics Services
- Looker, Power BI, Tableau, Qlik Sense (experience with at least one), Self-Service Analytics, Dashboarding, Data Marts
- RBAC, Entitlements, Data Security, Auditability, Compliance Controls
Benefits
- Competitive income, performance-based promotions, and a sense of purpose.
- Meal vouchers, bonuses for referrals.
- 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).
- Hybrid working model with 40% remote work.
- Options for flexible working hours.
- Enjoy retailer discounts, cultural and CSR activities, workshops, and more.