Back to Job SearchWho we are:
You'll be joining the 6th largest IT Service Provider, present in more than 50 countries. From our roots in Japan, NTT DATA's mission is to facilitate business change and technology transformation across many industries for a better future for our business, people and community.
Everything we do is underpinned by our core values of 'Clients First', 'Teamwork' and 'Foresight' and we achieve these by putting people first.
We support and celebrate our differences and preferences, these are what makes us unique. Some of our initiatives, collectively known as “DO Diversity”, aim to create a space for us to learn and get involved in building a truly diverse environment.
What you'll be doing:
NTT DATA UK is looking for a Data Architect to join our growing practice specifically focussed on the Law Enforcement/Security services domain.
Your role as a Data Architect in NTT DATA will be centred on architecting Data Platform projects, working in partnership with business analysts and solution architects to understand use cases, data needs, and business objectives.
The Data Architect will be expected to create blueprints for desired future data architecture, including standards for current and new data systems and how these should interact. These should enable business processes to run effectively and be efficient. Also these should leverage the latest technologies to enable business agility for clients.
The Data Architect is a key member of the team who works closely together with other professionals, such as Data Scientists, Data Engineers to deliver data projects alongside liaising effectively with business users who consume the delivered analytical products.
In this role, you will be primarily responsible for:
- Creating and reviewing technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
- Designing complex data integrations across multiple systems.
- Designing and executing strategies for real-time data analysis and decisioning.
- Collaborating with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
- Building and delivering proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
- Creating and maintaining optimal data pipeline architecture by designing and implementing data ingestion solutions native services or using data management technologies
- Designing and optimising data models on using Cloud data stores
- Designing operations architecture and conduct performance engineering for large scale data lakes in production environment
- Participation in client design workshops and provide tradeoffs and recommendations towards building solutions.
- Non-Functional Analysis: considering the demands of the reporting outputs and the data sizing to ensure performance and storage costs are considered in advance
- Mentoring other engineers in coding best practices and problem solving
What you'll need:
In order to be successful in this role, you will have proven experience in and a solid understanding of most of the following:
- In order to be successful in this role you must be able to gain or hold Security Clearance (SC)
- Excellent Analytical thinking and problem-solving skills required.
- Excellent Stakeholder management, Oral and written communication skills, Interpersonal and consultative skills.
- Dimensional Modelling: identifying facts and dimensions into star schemas, supported by the BEAM approach to identify the different business events driving the models
- Building Entity-Relationship Diagrams (ERDs) for capturing modelling outputs
- Use of UML for canonical models
- Extensive hands-on experience implementing data migration and data processing using AWS services. For example:
- VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, RDS, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker etc.
- Good familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation. For example:
- Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
- Working within agile methodology and Kanban
- SQL language knowledge
- Working with source code management tools such as AWS CodeCommit or GitHub
...and finally:
Our team believes in hard work. We celebrate each other's success and are always honest with each other to ensure we grow together. We aim to build a strong professional community where each individual can mentor others and be mentored, and can grow professionally through training and support to reach their career goals. Our focus on clients, teamwork and foresight forms our DNA and we are looking for someone who shares and embodies these core values, leading by example.
To support your hard work and dedication, we will offer you the following:
25 days of holidays, with the possibility to buy or sell 5 days
The opportunity, as we grow, to experiment within new industries and technologies in both Private and Public Sectors, including Insurance, Automotive, Financial, Government and more.
An online training platform with 3000+ courses, accessible from everywhere, to sharpen your skills
Support for training and upskilling
Industry leading employer pension contributions
…And much more!
Service Line Manager
Delivery Director responsible for building and leading the DevOps service line at NTT Data UK
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“Upon joining the NTT DATA UK family, you will experience a culturally diverse organisation living our values of Clients First, Teamwork and Foresight as we partner with our customers every day.
At NTT DATA UK, we are proud to support and invest in our people. We offer a variety of rewarding career paths and opportunities to develop professionally - with access to cutting edge innovation.”
Simon Williams, CEO, NTT DATA UK
