Senior Data Architect - Cloud

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My client a are a global IT consultancy with a global presence , due to large growth they are looking for an experienced Senior Data Architect to be based in there London office . This role will also require a degree of mobility as required across customer sites.

As a Director for Data Consulting you will be working in a customer-facing environment working into C-suite level within the insurance sector, providing high-level expertise on all data-related challenges - this could be related to data technology, data architecture, analytics (including machine learning), workflows, planning, data design, governance or data migration.

As a trusted advisor you will provide business focused data-related guidance to key client solutions and be a point of contact for our internal senior community to reach out to reference all manner of data-related challenges. Your technology expertise will be balanced with an understanding how businesses within the financial services must optimise data and analytics to be successful in an increasingly face-paced, customer-centric digital industry.

Required qualifications to be successful in this role

To be successful, we are looking for a proven track record in Data (Architecture), a consulting background (minimally a consulting mind-set if coming from industry) and with recent exposure to current cloud native data and analytics platforms and data driven digital transformation initiatives.

A good understanding of the insurance domain (preferably with a focus on either General Insurance or London market) will be an important strength in being able to guide and advise our clients at board level. However any particular expertise of pragmatic data architecture in Financial Services would also be considered. We will be looking for a candidate who can apply their technical understanding to real world Insurance business challenges and understand how data can be used as a competitive capability within insurance.

We're looking for a demonstrable background in a range of technologies, however of particular interest would be the architecture design and implementation expertise in Azure and/or AWS Cloud data and analytics platforms, scalable enterprise data solutions (e.g. Data Lake, Enterprise Data Warehouses, Data Marts, etc.), Big Data solutions (i.e. Hadoop, Spark, Hive, Pig, etc.,), databases (e.g. Netezza, BigQuery, Teradata, Redshift, Snowflake, etc.), ETL workloads and related tools (SQL, Java, SVN, Git, etc.).

The successful candidate should be able demonstrate a practical understanding of how the legacy data world is being transformed by emerging data and analytics capabilities and the changing demands to support Data Science and Machine Learning based analytics. Our clients are looking for guidance on how traditional data architectures are changing with the growth in Cloud-Native serverless computing, micro-services, Open API design and the move from IaaS to PaaS capabilities. Candidates should have an architecture certification, or be able to offer demonstrable experience in leading data architecture solution design, data governance/management, Master Data Management and reference data.

Please contact me for further information on this exciting role

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