Title: Data Architect

Join us at DWS, and you can be part of an industry-leading firm with a general presence. You can support our clients, local communities, and the environment. As investors on behalf of our clients, it is our role to find investment solutions. 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. On top, the data architecture team is also responsible for maintaining the organization’s Enterprise Data Model (EDM) and will help martialize the logical model into physical models on data management systems or in any other structure or contract.

Break down functional and non-functional requirements into individual data related building blocks, the most appropriate data model, data ingest strategy and data consumption strategies.

Work with and coach / help data engineers to put the data model and ingest / consumption patterns to life and

Collaborate with Domain Architects and fellow Solution and Data architects to work out strategic architecture decision records, patterns, or even code to common, recurring problems or to support delivery of individual data strategies

Maintain the Enterprise Data Model (EDM) and help materialize into physical models where required.





Assess and R&D; new technologies and derive usage patterns for the broader organization to adopt and keeping the technology estate up to date and keep improving the overall data architecture in DWS.

Degree in Computer Science or a related field with a minimum of 5 years of experience in data engineering, and architecture

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

Very good understanding of individual data architecture aspects, such as batching, streaming, parallel ingest, and event driven architectures.

Very good understanding of traditional RDBMS such as Oracle, SQL Server, PostgreSQL, proficiency in Snowflake is a big plus

Strategic thinking and planning, laying out common solutions for recurring problems (patterns. Keen to work with new technologies to derive opportunities for enhancing the overall data architecture

Good understanding and experience in deploying workloads to the cloud, preferably GCP

Experience in designing and building or integrating with ABAC or RBAC controls or systems (IAM)

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.

At DWS we’re serious about diversity,



equity and creating an inclusive culture where colleagues can be themselves and it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded. Whether you’re interested in healthcare, company perks, or are thinking about your retirement plan, there’s something for everyone. DWS’ Hybrid Working model is designed to find the right balance between in-person collaboration and engagement in the office, which is core to our working culture, and working from home. Each business group varies on the split between time spent in the office and at home, but this will be discussed and made clear as part of your application and interview process. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. This will not affect your application and your recruitment team will discuss options with you 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. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. 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.

More information at: Deutsche Bank Careers (db.

📌 Data Engineer (Home-based) (Madrid)
🏢 Deutsche Bank
📍 Madrid