Kyle Winterbottom

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Data Architect

Ref #: Data Architect
Kyle Winterbottom 24/08/2021
Location: UK Wide Not Disclosed UK Wide
Salary: £100,000 £
Type: Permanent
Specialisms: Data Architecture, Azure, AWS, GCP
Date: 24/08/2021
Data Architect

Data Solution Architect

Salary £85,000 to £110,000 depending on Experience

Who are They?

My client is a leader in helping public and private enterprises digitally transform their businesses by securely harnessing, migrating to and operating Cloud technologies. They deliver Digital services quickly, efficiently, and cost effectively.

They operate and work with international clients across Europe, the Middle East and Africa, with ambitious, exciting and transformative agendas. They pride themselves on their ambition, strong team ethic and diversity – over 10 different languages are spoken by their team members! Capitalising on recent growth, there is no ceiling in regard to personal and professional development.

When delivering client’s digital transformation goals, they:

  • Outcomes focused.
  • Select and deliver cutting edge solutions.
  • Modernise networks, infrastructure, applications and security wrap by using a practical, integrated and holistic approach.
  • Take full lifecycle delivery responsibility, from strategy through to implementation.
  • Deliver at pace while effectively mitigating risk and controlling costs.
  • Operate as a trusted advisor with our clients and their teams.

The team, which is made up of business transformation technology and engineering experts, have successfully delivered Digital Transformation across a vast number of leading national and global enterprises. They also have delivery management and engineering advisors and practitioners who work with the latest Cloud technologies across networks, infrastructure, applications, data intelligence and security.

Their principal Cloud services and vendors are (but not limited to): Microsoft Azure and 365, Amazon Web Services (AWS), Cisco, VMWare and Zscaler.

If you can see yourself making a difference to their group, then I look forward to hearing from you.

Role Description

My client is looking for a Data Architect or Data Engineer with 5+ years’ experience of designing and developing cloud-based data solutions to join our Data, Analytics and AI team.

The ideal candidate would ensure solutions meet the business need by working in a DevOps fashion to design and deliver the technical solution.

They are looking for an experienced architect/ engineer who is confident in delivering business critical, high-impact solutions, aware of and uses data and security best-practices and can coach both clients and Junior Developers.

They offer vocational certificates, mentoring and exciting career progression opportunities.

The role is UK based, with a possible requirement to travel to Europe and the Middle East from time to time.

Responsibilities

  • Technical hands-on role to design, build, migrate and transform Cloud Data Storage, Integration and Analysis Solutions
  • Advise on solution options for a business need, clearly presenting the technical components and their implications for cost, functional and non-functional capabilities.
  • Support the Project team to capture technical requirements.
  • Produce design documentation to present and iterate to customers and their governance boards, securing approval from Design Authorities, Security and CAB.
  • Complete the environment and solution build / migration activities, primarily in Azure and some AWS and/or GCP.
  • Support client training / handover instructions.
  • Support pre-sales activity.
  • Building strong working relationships, with the team, customers and third parties to enable successful product delivery.
  • Working in teams using development methodologies and tools, such as Agile, DevOps, Scrum, KanBan, Waterfall, Prince2.
  • Proactively responding to changes in scope and devise options to present to the client or delivery lead.

Role Requirements – mandatory

  • Design and implementation experience developing Azure data warehouse solutions (using services such as Synapse Analytics, Data Factory, Data Bricks, Stream Analytics, Data Lake, Blob Storage, CosmosDB, EFS, SQL Server, Analysis Services, PowerBI and/or Tableau)
  • Data integration and pipeline development
  • Working knowledge of SQL server, T-SQL, SSIS, SSAS, SSRS
  • Excellent stakeholder management and communication skills
  • Competent in at least one programming language: Python, R, Powershell, C#
  • Proactive and creative problem solver
  • Experience in Datawarehouse migrations from on-prem to cloud
  • Operates using Agile/iterative development methodology.
  • Able to work in a self-directed manner, proactively seeking out areas that need attention, rather than being asked to look at specific problem areas.
  • Outstanding problem-solving skills and a passion to solve hard problems.
  • Robust character and determination to achieve goals and deliver outcomes.

Role Requirements – desirable but not essential)

  • Microsoft Azure Data Engineer Certification DP-200 and DP-201
  • Data Science experience
  • AWS and GCP Cloud Infrastructure Engineering (especially for data storage, orchestration and analysis, e.g. RDS, Sagemaker, BigQuery)
  • Competent in developing Microsoft CDS / Dataverse databases (within PowerPlatform)
  • M365 data management
  • Sharepoint, Access, Excel
  • API services
  • Mathematics, statistics, or IT training, certifications or degrees
  • Technical leadership skills
  • Consulting background

Benefits

  • Bonuses based on performance?.
  • Health insurance?
  • Generous pension?
  • Extensive training and development budget
  • Professional development and training ?
  • Modern, stylish office accommodation in Central Manchester or Central London as preferred?
  • Opportunity to work on cutting edge technology as part of a great team?
  • Opportunity for career progression and promotion?
  • Opportunities to work abroad?.
  • Join a sustainable equal opportunity employer ?
  • Time to work on your own ‘pet project’, linked to company mission.

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