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About the Role

As a Data Architect, you will translate functional and non-functional requirements into data-related architecture building blocks, including data models, ingest strategies, and consumption patterns. You will partner with Solution Architects to design end-to-end data pathways, coach data engineers, and collaborate with various stakeholders to define architecture decision records and reusable patterns. Your role will involve maintaining the Enterprise Data Model, evaluating emerging technologies, and ensuring data solutions are scalable, governed, and secure, aligning with DWS’s strategic architecture direction.

Responsibilities

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.

Requirements

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 meeting functional and non-functional requirements.
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.
Ability to select appropriate modelling methods based on functional, non-functional, analytical and operational requirements.
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.

Skills

Data modelling
Data engineering
Solution architecture
Data architecture patterns
Relational databases
Architecture patterns
Stakeholder management
Communication skills
Snowflake
Cloud platforms
GCP
Data governance
Data quality
Metadata management
Regulatory data requirements
Prototyping

Location

Global

Work Type

Hybrid Working

Experience Level

At least 5 years of experience

Education Level

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

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 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.
Corporate volunteering opportunities

About the Company

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.
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.
For over 150 years, our dedication to being the Global Hausbank for our clients has been driven by our people – in around 60 countries and across more than 150 nationalities.
Their deep understanding, insights, expertise, and passion help our clients navigate an increasingly complex world – be it in our Corporate Bank, our Private Bank, our Investment Bank or our Asset Management (DWS) division.
Together we can make a great impact for our clients at home and abroad, securing their lasting success and financial security.

Equal Opportunity

We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture.
The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds.
It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.