Albert Cliff Ltd

Albert Cliff specialises in recruiting senior professionals for: investment banks, blue chip companies, retail and corporate banks, private banks and private wealth managers, strategy and management consultants, law firms, hedge funds, asset managers, M&A and corporate finance boutiques, private equity funds, trading houses. It is headquartered in London, UK.

Albert Cliff Ltd Munich, Germany
Full time
Our client, a very well-known German company and an industry leader is looking for a Senior Data Architect to join their team in Munich Key Responsibilities Work as part of the Global Data Architecture team to support the transformation of the company towards an information-driven enterprise Develop and enhance data architecture strategies, frameworks and methodologies in a service-oriented environment from a Group perspective Investigate data management standards, guidelines and metrics within the enterprise and the financial industry. Develop a transformation roadmap indicating current, transition, and future state data architecture, focused around clear benefits to both IT and business users Identify best practice of data architecture within operating entities of the Group and across the industry to support the knowledge exchange within the Group Advice the company’s Global Data/ Information Architecture community with expert knowledge, guidance and conceptual support Take responsibility for leading data/ information architecture related projects in a multi-national environment Proactively work and collaborate with various stakeholders from different levels in the Business, Operations and IT area Communicate on data architecture, standards and best practices across the enterprise and provide presentations to the management Deliver accurate and consistent concepts and documentation to agreed deadlines Travel for projects, workshops and on-site data architecture reviews.  Requirements:  MS or PhD degree in Computer Science, Data Science, Data Analytics or related technical field  Minimum of 3-5 years of experience as a data architect, ideally in the financial industry Deep understanding of Enterprise Architecture principles, architecture design processes, methodology and principals Excellent understanding of data architecture, service-oriented architectures, micro-services and related areas  Strong understanding of business environment, strategies, data architecture concepts and best practices in the industry  Well versed in domain modeling, domain-driven design and definition of business capabilities  Sound understanding of data management including standards, governance, quality, security, etc.  Expert knowledge of data modeling and knowledge representation techniques  Exposure to data engineering practices and tools including data cleansing, standardization, etc. Well versed in data domains like Analytics, BI, Big Data, Operational Data Store, Metadata, Master Data, unstructured data, etc.  Robust skills and sensitivity in understanding business and customer needs and requirements  Ability to translate business requirements into technical concepts, executive presentations and whitepapers  Exceptional analytical capabilities and a passion for problem solving  Demonstrated ability to balance architectural theory with practical solutions  Ability to quickly learn and understand new emerging trends in the data architecture space  Ability to work in a rapidly changing environment Attention to detail and strong organization skills Ability to work well in teams and individual with peers, supervisors and management  Cultural sensitivity in order to fit into a multi-national project setup  Ability to bring projects to a successful completion despite organizational dynamics in a global environment  Ability to authentically and effectively communicate with various stakeholders across business and IT  Self-motivated, flexible, persuasive, positive and respectful