Data Architect

Capgemini
Worthing, United Kingdom
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 62K

Job location

Remote
Worthing, United Kingdom

Tech stack

Java
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Automation of Tests
Azure
Cloud Computing
Continuous Integration
Data as a Services
Data Architecture
ETL
Data Systems
Data Virtualization
Data Warehousing
Relational Databases
DevOps
Hadoop
HBase
Neo4j
NoSQL
Oracle Applications
Pentaho Data Integration
Power BI
SAS (Software)
Talend
Data Storage Technologies
Azure
Data Strategy
SC Clearance
Amazon Web Services (AWS)
Data Lake
Amazon Web Services (AWS)
Data Management
Cloud Migration
Data Pipelines

Job description

We're looking for an established data architect who has the experience and ability to operate across the data lifecycle, providing enterprise level data architecture solutions for programmes covering cloud migrations, data management, data virtualisation and creation of modern data pipelines. Experience in building world class leading data solutions inline with industry best practice.

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your role

The role will help our client define and deliver a coherent data strategy that goes beyond designing point data solutions. It focusses on the data capabilities that are needed to deliver objectives via the use of various data platforms. The role will initially look to make an initial grouping of key components needed, using principles based on wider industry best practise and providing technical recommendations on how this can be achieved.

Key activities will include:

  • Gain an understanding of the various programmes that have data at the heart of them e.g. Data Lakehouse, Enterprise risking, Advanced Analytics, MI reporting and AI to provide a perspective on how these capabilities can be delivered through various project and programme solution designs, aligning to the data strategy.
  • Produce architectures and designs for complex end-to-end data solutions, including platform, ETL, Reporting, AI and Analytics
  • Provide advice to clients on architecture/infrastructure, platform and engineering best practices across Data Warehouse/Data Lake solutions and modelling concepts.
  • Take ownership of the client requirements, deliverables and accountabilities to ensure adherence to Architecture Governance processes, industry best practices and to maintain consistency with clients' Architecture vision
  • Drive the solution development and documentation of solution designs ensuring good architectural practices are observed through the lifecycle of the solution development
  • Provide oversight of architectural direction for and on behalf of our clients
  • Develop excellent working relationships with our clients to become their trusted advisors through boldness and honesty
  • Manage relationships with vendors, third parties and the wider Capgemini
  • Ensure solution delivery is performed according to agreed specification while challenging the status quo, providing an alternative point of view as and when required.

Requirements

  • Good understanding of cloud native data services and offerings on both AWS and Azure
  • Experience with multiple data storage types and technologies in data warehouse and data lake solutions. Examples include relational DBMS (e.g. Oracle), Hadoop, NoSQL (e.g. Hbase), Columnar DBs (e.g .Amazon Redshift), Graph DBs (e.g. Neo4J), cloud object storage (e.g. Amazon S3), cloud DB as a service (e.g. Amazon RDS)
  • Understanding of architecture and design concepts for ETL/ELT solutions utilising a range of tooling (examples include AWS Glue, Azure Data factory, Talend, Pentaho DI, Informatica, SAS DI, Java)
  • Understanding of architecture and design concepts for data exploitation solutions and technologies includes Analytics (e.g. SAS, R), Reporting (e.g. Pentaho Business Analytics, Power BI) & APIs (e.g. Java, Denodo)
  • Demonstrable expertise in the areas of data modelling in large complex estates, implementation of multiple data architectures and integration of Data Management/Governance tooling
  • Experience in modern ways of working (examples include Agile, CI/CD, DevOps, Test Automation and utilising AI)
  • Experience working with On Premise, Cloud, and Hybrid solutions including Cloud Migration programmes., To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

Benefits & conditions

We realise a Total Reward package should be more than just compensation. At Capgemini we offer range of core and flexible benefits and have a Peer Recognition Portal called Applaud.

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

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