Arquitecto de Datos

Employer: DWS Group

Title: Data Architect

Location: Madrid

As a Data Architect you will:

• 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
• Support and contribute to the overall solution design with Solution Architects to defend the design before any Design or Security Council before being implemented
• 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.

We are looking for:

• Degree in Computer Science or a related field with a minimum of 5 years of experience in data engineering, and architecture
• Prior experience in working in the financial industry or specifically in Asset Management is a big plus
• 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. opinionated decision trees, design decisions)
• 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.

Today, markets face a whole new set of pressures - but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change.

Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment.

We're looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow.

As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients' financial future. And in return, we'll give you the support and platform to develop new skills, make an impact and work alongside some of the industry's greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career.

This is your chance to invest in your future.

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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.

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. At DWS, you'll have access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle. 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. We will continue to review and evolve our working environments and methods to ensure that we are working in the best way possible for our people.

If you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long-term health condition, then please contact your recruiter and let them know what assistance you may need. 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. 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.