Job ID: 23310
Would you like to grab a challenging and exciting opportunity to shape the future of Nordea’s data landscape as part of the Data, Finance & Risk Architecture team in Group Architecture? We are now looking for Data Architects to provide architectural support and direction across the enterprise.
At Nordea, we know our customers’ needs are changing – and we’re deeply committed to meeting them with the financial solutions of tomorrow. We’re creating an agile environment where we’re harnessing the power of technology – one where you can make an impact. So bring your skills, ideas and unique background. With us, you’ll find plenty of opportunities to grow and make your mark on something bigger.
About this opportunity
Welcome to the Data, Finance & Risk Architecture team. We support and direct Nordea’s transformation by providing a holistic architectural view and structured understanding of the bank and its surrounding environment to enable the Customer Vision and the Business Strategy. As the Data Architect, you’ll play a valuable role in supporting and directing the bank in the context of data architecture.
What you’ll be doing:
Be accountable for developing transition and target architectures that provides explicit guidance and steering for initiatives in the context of the data reference architecture and data roadmap and support in its realisation Provide data architecture solution design and architectural leadership that includes creation of content relating to business, application, data, process and technology architecture viewpoints Craft architectural blueprints to support coordinated realisation of multiple data centric initiatives across the bank. The candidate must also be able to articulate benefits and drawbacks of various design options and recommend solutions that deliver the most business value while limiting technical debt Ensure that the data architecture is aligned with the business strategy of each of the bank’s business domains to help them achieve their respective objectives, improve operational efficiency or marketplace competitiveness – while staying within risk appetite and complying with regulations Educate and assist stakeholders with Group Architecture’s governance framework and associated processes You’ll join a team of experienced archiects that has a central role in providing an data architecture support and steer for the bank.
The role is based in Helsinki; Gdańsk; Gdynia; Høje Taastrup; Stockholm; Warszawa.
Who you are
Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us.
To succeed in this role, we believe that you:
Have the ability to work with engineers, developers, project managers, as well as C-level executives to demonstrate Group Architecture’s value proposition Communicate and influence at all levels of the organisation and explain complex concepts in clear and understandable ways to build understanding Build effective relationships with other architects and stakeholders across the organisation to facilitate alignment of the enterprise data architecture in relation to other domains Drive strategic discussions for evolving the enterprise data architecture to deliver reduced complexity, enhanced data management, cost efficiencies, improved agility, reduced risk, and/or improved business capabilities Keep focus on own continuous development and learning as well as mentor others to build knowledge and improve overall effectiveness
Your experience and background:
6+ years of related work experience in the areas of Information/Data Architecture & Modelling, Business Intelligence, Reporting and Analytics, AI & Machine Learning, Data Warehousing and/or Master Data Management 4+ years of related work experience with relational DBMS and Big Data solutions 4+ years’ experience with Data Management and Data Quality tooling 2+ years’ experience with cloud-based data platforms including Amazon Web Services and other PaaS vendors such as Snowflake 2+ years experience with data architecture design and implementations based on Lake house, Data Fabric, and/or Data Mesh Demonstrated ability to drive development of target and transition architectures and to craft fit-for-purpose architecture content that provides explicit guidance for large and complex transformation initiatives Demonstrated experience with design of data warehouse and data lake solutions to support analytical, machine learning and AI use cases such as real-time decisioning Demonstrated experience with integration technologies, methods and architecture patterns to support batch, real-time and near-real-time data integration to support operational, analytical and reporting use cases Proficient with business analysis, software engineering, integration and orchestration, technical solution design, and risk and quality management Prior experience in full-service banking across lines of business i.e. Retail, Wholesale, Institutional, Wealth and Insurance If this sounds like you, get in touch!