DWS - Data Architect (m/f/d)

Deutsche Bank; Frankfurt; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Deutsche Bank invites applications for a Data Architect within Solution & Data Architecture. You will translate requirements into data models, design end-to-end data pathways, and coach data engineers to implement robust solutions.

Work with domain and solution architects to ensure scalable, governed data architectures and reusable patterns. Fluent English and German (B2) are expected, with daily collaboration across global teams.

Qualifikationen

• At least 5 years of experience in data engineering, data architecture or solution architecture with a strong data focus.
• Degree in Computer Science, Information Systems, Engineering or a related field.
• Strong data modelling skills including normalization and Data Vault approaches.
• Experience with Snowflake and cloud deployments (GCP).

Aufgaben

• Translate functional and non-functional requirements into data-related architecture building blocks, including data models and ingestion patterns.
• Partner with Solution Architects to design end-to-end data pathways across systems, platforms and services.
• Coach data engineers in implementing data models, ingest patterns and consumption patterns.
• Collaborate with Domain Architects, Solution Architects and Data SMEs to define architecture decision records and reusable patterns.
• Contribute to solution designs and present data architecture decisions in governance forums.
• Maintain and evolve the Enterprise Data Model and translate logical models into physical database structures.
• Evaluate and prototype emerging technologies for enterprise adoption.

Kenntnisse

Data modelling

Stakeholder management

Communication skills

German language (B2)

English language

Data governance

Cloud platforms (GCP)

Data architecture

Data engineering

Ausbildung

Degree in Computer Science / Information Systems / Engineering

Tools

Snowflake

Oracle

SQL Server

PostgreSQL

Data Vault 2.0

Cloud platforms (GCP)

Jobbeschreibung

Position Overview

At DWS, we’re capturing the opportunities of tomorrow. You can be part of a leading, client-committed, global Asset Manager, making an impact on individuals, communities, and the world.

Join us on our journey, and you can shape our transformation by working side by side with industry thought‑leaders and gaining new and diverse perspectives. You can share ideas and be yourself, whilst driving innovative and sustainable solutions that influence markets and behaviours for the better.

Every day brings the opportunity to discover a new now, and here at DWS, you’ll be supported as you overcome challenges and reach your ambitions. This is your chance to lead an extraordinary career and invest in your future.

Team / Division Overview

In Solution & Data Architecture we focus on shaping architecture relevant patterns and guidelines and support delivery teams implementing their solutions aligned to these standards. We closely work together with Domain Architects, Security SMEs, Data SMEs and Delivery Teams to assure overall strategic and policy adherence of any solution we deliver into the organization. As such the team supports the full delivery from modelling solutions for data in transit, at rest, consuming data and building services and front ends on top of data. We provide guidance and governance during implementation and help teams implement the solution designs.

The team is responsible for translating business, functional and non‑functional requirements into robust data models, data pathways and reusable architecture patterns. You will help ensure that data solutions are scalable, governed, secure and aligned with DWS’s strategic architecture direction.

Role Details

As a Data Architect, you will be responsible for:

• Translate functional and non‑functional requirements into data‑related architecture building blocks, including appropriate data models, ingest strategies and consumption patterns.


• Partner with Solution Architects to design end‑to‑end data pathways across systems, platforms and services.


• Coach and guide data engineers in implementing data models, ingest patterns and consumption patterns in line with approved architecture standards.


• Collaborate with Domain Architects, Solution Architects and Data SMEs to define architecture decision records, reusable patterns and reference implementations for recurring data architecture challenges.


• Contribute to solution designs and present data architecture decisions in design, architecture and security governance forums.


• Maintain and evolve the Enterprise Data Model and help translate logical models into physical database models, service contracts or other implementation structures.


• Evaluate and prototype emerging technologies, deriving reusable usage patterns for broader adoption across DWS.

Qualifications and Experience

• Strong data modelling skills, e.g. 0NF, 3NF, Star, Snowflake, DV 2.0 and ability to select the appropriate model or combination of modelling methodologies to meet functional and non‑functional requirements.


• Degree in Computer Science, Information Systems, Engineering or a related field, or equivalent professional experience.


• At least 5 years of experience in data engineering, data architecture or solution architecture with a strong data focus.


• Strong data modelling skills, including normalized, dimensional and Data Vault approaches.


• Strong understanding of data architecture patterns such as batch processing, streaming, event‑driven architecture, parallel ingestion and data consumption patterns.


• Experience with relational databases such as Oracle, SQL Server or PostgreSQL.


• Ability to define reusable architecture patterns, decision trees and architecture decision records.


• Strong stakeholder management and communication skills.


• Experience in financial services or asset management.


• Experience with Snowflake.


• Experience deploying workloads to cloud platforms, preferably GCP.


• Knowledge of data governance, data quality, metadata management and regulatory data requirements.


• Hands‑on experience with prototyping new technologies and turning learnings into enterprise adoption patterns.


• Confident conversational and professional proficiency (B2) – you can comfortably negotiate, present, and collaborate with German‑speaking clients.


• Fluent English, written and spoken.

Benefits

• Physical and Mental Health Well‑Being benefits including Statutory Health Insurance (BKK), sickness benefit allowance and support helplines for employees.


• Family friendly benefits including generous parental leave packages (supporting all variations of family set‑ups) and support in finding childcare options including DWS’s own kindergarten service.


• A wide selection of pension plans, Personal Budget Accounts to enable sabbaticals or early retirement and capital‑forming benefits.


• The opportunity to support our CSR strategy which is focused on combatting climate change & achieving greater social justice. You can make donations to our partnered organisations or take part in corporate volunteering opportunities in your local communities by providing on‑hand support.

Posting period: 03.03.2026 until further notice.

Wir streben eine Unternehmenskultur an, in der wir gemeinsam jeden Tag das Beste geben. Dazu gehören verantwortungsvolles Handeln, wirtschaftliches Denken, Initiative ergreifen und zielgerichtete Zusammenarbeit. Gemeinsam teilen und feiern wir die Erfolge unserer Mitarbeiter*innen. Gemeinsam sind wir die Deutsche Bank Gruppe. Wir begrüßen Bewerbungen von allen Menschen und fördern ein positives, faires und integratives Arbeitsumfeld.