Data Architect

1 month ago

Liverpool, United Kingdom Munich Re Full time

Munich Re is a global market leader in re-insurance, global specialty insurance and digital solutions. New technologies are disrupting the insurance value chain. Our innovative minds in IT spearhead the transformation and make change happen. We support clients with a comprehensive range of insurance and risk management products. Our goal is to become even more digital through the expertise of our IT & Tech specialists, and by leveraging data and insights to support innovation and client service. We are therefore making targeted IT investments and helping our insurance clients and partners to tackle problems in the modern digital world with innovative and forward-looking solutions.
This role is a high impact position needed to support the delivery of data programs within MunichRE’s Global Specialty Organization (GSI). This role will help the organization to implement what is needed to deliver our strategic data platforms. Work will include, but not limited to the end to end support / data solution architecture design for acquisition, organization, integration, transformation and secure storage of mission-critical data. This role will report into the team led by the Head of Data Solution Architecture for GSI.
Work closely in partnership with large system integrators to support the delivery of the programs that align to our data strategy.
Work with one or more delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and design data solution architectures to support the delivery of our data capabilities.
Partner with technical teams across both the GSI Data Team as well other peer organizations to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines.
Partners with data management and governance leads to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data quality requirements.
This position requires sound technical skills, the ability to collaborate across teams both on-off shore, an operational / data solution architecture / delivery mindset, and self-management leadership skills.
Consulting and collaborative working style creating a culture of accountability and sharing.
10+ years of experience and in-depth knowledge of data solution architecture, data delivery and associated architecture principles, data modeling concepts, ETL/data pipelining procedures, and all steps of data production process
Extensive hands on experience in SQL, Python, Data Integration/Mass Ingestion/pipelining and associated patterns both on prem and in cloud environments along with associated tooling as well as the ability to design patterns that exploit the cloud capabilities of these tools. Experience with one of more cloud service providers – AWS, Azure, or GCP. Familiar with automating data pipelines and working closely with the DevSecOps organization for environment provisioning / setup,
Strong Database management systems experience – SQL Server and Oracle for both cloud and on premise options.
Understanding of PAAS services relating to data, analytics, and integration interfaces – Databricks, etc.
Analyzes data requirements and provides data analysis techniques, and applies data modeling (including data vault) and data quality techniques to establish, modify or maintain data structures and their associated components in complex environments
Demonstrated experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Understanding data related security challenges and tooling with specific technologies (e.g. Experience in migrating data and associated systems from on-prem to Cloud environments
Experience with Data visualization tooling and exposing data through a consumption layer.
Expertise in designing cloud based data warehousing and intimately familiar with zoned / layered architectures – e.g. Experience with data modeling with relevant insurance industry specific domains being successfully demonstrated.
Experience creating standards and guidelines as well as common data frameworks.
Support all cross team integration ensuring adherence to all toll gates and other compliance mandates in supporting data delivery.
Familiar with data profiling (quality), cataloging, metadata, and data mapping
As the world's leading reinsurance company with more than 11,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk, we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.
Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation.
Professional Training & Certification: We accompany you in building up your professional profile by supporting with customized professional training and certification opportunities.
Diversity, Equity & Inclusion: We embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better.
Continuous Learning: We believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth.
Career Mobility: We actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you
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