Data Architect
Details
- Supplier(s)
- RPLUS ANALYTICS SOLUTIONS LIMITED
- Value
- GBP 71,820
- Published
- 17 January 2022
- Source
- uk:digital_marketplace
Tender description
Summary of the work CAMLite is a workflow management tool which is used by internal DWP staff to update claimant information, the work is created for the users as Tasks DWP are replacing the system with an AWS Cloud based service, using ARA components where possible, to replace the COTS Product. Specialist role Data architect Expected Contract Length Initial term will be 6 months with an optional 6 months extension Latest start date Tuesday 1 February 2022 Who Speclialist Work With You will be comfortable working in a cross-functional team (including UX, analysts, statisticians, engineers, product owners, security risk, etc.). What Specialists Work On As a Big Data Architect you will be able to demonstrate expertise in leading enterprise data architecture and design for large complex businesses. Your credible track record of designing for Microservices, external data ingestion, real-time data analytics, domain-driven master data model, event-driven enterprise data-sharing, authoritative data sources and an external API exchange will be utilized in a continuously improving, challenging and satisfying environment. You’ll thrive creating value using large, diverse data volumes, e.g. by using Tableau, Clik, C3, Hadoop / Spark / SQL / Mongo Atlas/ Python to create modelling features from underlying transactional data. Skills & Experience • Expert level data modelling, conceptual through to physical, relational, object, analytical and NoSQL. • At least 10 years data modelling experience in a software engineering environment. • Expert in domain driven design and Microservices. • Expert in designing analytical database models from underlying transaction data. • Hands own experience in Mongo DB, Hadoop, Tableau, Qlik and Spark • Scripting/Coding experience (e.g. Bash, Python, Perl) • Excellent experience with the Hadoop ecosystems (such as HDFS, YARN and/or Hive) • Strong experience with streaming and stream processing frameworks (such as Spark, Storm, Flink, Kafka and/or Kinesis) • Good knowledge of at least one of the following programming languages: Python, Scala, Go, Kotlin, Java • Experience with NoSQL databases (such as HBase, Cassandra and/or MongoDB) • Experience with public cloud-based technologies (such as Kubernetes, AWS, GCP, Azure, and/or Open stack) • Expert level in the creation and maintenance of enterprise data artefacts. • Highly proficient in at least one query language for each of the following: relational; analytical; NoSQL. • Proven innovator with proficient software engineering skills to prototype relational; analytical; NoSQL solutions. • Highly motivated with experience of selecting and working with data and data tools. • Experience of canonical modelling. Nice to Haves • Capable of engaging senior stakeholders. • Capable of developing and maintaining strong working relationships within the organisation and third party suppliers. • Able to manage their time effectively and work proactively across projects as well as BAU tasks. • Written and verbal skills to enable them to communicate complex data and information problems and solutions. • Experience of developing data strategies, policies and standards. • Have experience of working within DWP or a comparable organisation within the last 3 years • TOGAF Practitioner. Work Location The Services will be aligned to a DWP Technology Hub (to include Manchester and Leeds), the majority of the Buyer’s Digital Workforce are currently working from home and the Supplier Services will be delivered remotely, this is anticipated to continue. Working Arrangments Digital Workforce are currently working from home and the Supplier Services will be delivered remotely, this is anticipated to continue. The team currently work 5 full days, working hours are flexible provided the supplier covers 8 hours between 08.00am & 18.00pm Security Clearance The individual shall comply with Baseline Personnel Security Standard (BPSS)/Government Staff Vetting Procedures in respect of all persons who are employed or engaged be the Supplier in the provision of this Call Off Contract prior to each individual commencing work. No. of Specialists to Evaluate 5 Cultural Fit Criteria • Experience of working within agile teams remotely and collaboratively • Experience of GDS Standards • Proactive • Comfortable working in a cross functional team • Ability to communicate effectively to express freedom of thought and innovation, positively challenge and act as an advocate for change. • Evidence of working in a transparent and visible way that drives performance, ownership, trust and eliminates surprise. • Evidence of a culture of continuous improvement Assessment Method • Reference • Interview • Scenario or test Evaluation Weighting Technical competence 40% Cultural fit 10% Price 50% Questions from Suppliers 1. Is there any incumbent? There is no Incumbent Data Architect 2. What is the budget for this requirement? DWP decline to answer this question.
Timeline
- Completed: Award published17 January 2022Current notice
- Completed: Award date17 January 2022
About the buyer
Department For Work and Pensions (DWP) is a public sector buyer in United Kingdom publishing tenders and awards on Stotles. Explore their procurement activity and find more opportunities like this one.
Decision makers
Connect with the people behind this procurement.
| Contact name | Job title | Phone number | Work email |
|---|---|---|---|
| Head of Procurement | +44 •••• •••••• | ••••••••@department-for-work-and-pensions-dwp.gov | |
| Commercial Director | +44 •••• •••••• | ••••••••@department-for-work-and-pensions-dwp.gov | |
| Procurement Manager | +44 •••• •••••• | ••••••••@department-for-work-and-pensions-dwp.gov | |
| Category Lead | +44 •••• •••••• | ••••••••@department-for-work-and-pensions-dwp.gov | |
| Senior Buyer | +44 •••• •••••• | ••••••••@department-for-work-and-pensions-dwp.gov | |
| Contracts Manager | +44 •••• •••••• | ••••••••@department-for-work-and-pensions-dwp.gov |
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