Data Integration Architect, Keyrus

Salary not provided
Boomi
Mid and Senior level
London

More information about location

Keyrus

AI-driven toolkit for data analytics

Open for applications

Keyrus

AI-driven toolkit for data analytics

1001+ employees

B2BArtificial IntelligenceBig dataMarketingAnalyticsSaaSData Analysis

Open for applications

Salary not provided
Boomi
Mid and Senior level
London

More information about location

1001+ employees

B2BArtificial IntelligenceBig dataMarketingAnalyticsSaaSData Analysis

Company mission

Keyrus's mission is to "make data matter".

Role

Who you are

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
  • Extensive experience in designing data architectures, data integrations, and data flows
  • Deep understanding of data integration technologies and tools such as Apigee, Dell Boomi, Informatica PowerCentre, SSIS, and OCI data integration services (Data Integration, DataFlow)
  • Experience with a variety of cloud data platforms, databases, data lakes, and data warehouses, with a particular emphasis on OCI PaaS and SaaS data services
  • High level of proficiency in designing data architectures and data integrations
  • Strong understanding of data security practices including authentication, authorization, and encryption
  • Ability to stay updated with the latest trends and technologies in data integration and cloud services
  • Excellent collaboration and teamwork skills

What the job involves

  • The Data Integration Architect is responsible for developing and maintaining the overall data integration architecture of the Data & AI Platform
  • This role involves translating requirements into optimal design solutions for integrating data sources and capturing metadata, considering factors such as data volume, variety, velocity, scalability, reliability, and performance
  • The Data Integration Architect will recommend suitable tools and technologies, document design choices, and act as the key point of contact for all architectural decisions related to data integration
  • Develop and maintain the data integration architecture for the Data & AI Platform
  • Translate requirements into the most appropriate design for integrating data sources and capturing metadata at a physical level
  • Recommend suitable data integration tools, technologies, and approaches based on the technology environment, ensuring data security through authentication, authorization, and encryption
  • Develop and document processes, integration patterns, standards, and best practices for data integration and metadata harvesting
  • Present technical designs for approval to architectural assurance bodies
  • Act as the key point of contact for all architectural decisions related to data integration

Application process

  • We usually respond within a week

Salary benchmarks

Our take

Data is an invaluable resource to modern businesses, empowering actionable insights that can significantly optimize business operations. However, the massive quantities of data that must be analyzed to achieve such insights can be problematic to work with, requiring vast teams of data engineers and analytic infrastructure.

Keyrus provides a 'playbook' suite of AI-driven data analytics tools, helping businesses maximize their data’s value without the need for large-scale data engineering teams. The company's tools primarily focus on optimizing user experiences across software and web products on any platform and offering data-driven tools for cloud-based technology, cybersecurity, and overall business digitization, transformation, and innovation.

Whilst the company will face competition from startups producing specialized AI-driven tools for businesses, Keyrus shows excellent potential to compete due to its unified approach to applying AI to data analysis. Through this approach, the company aims to empower businesses to maximize the potential of their data with unfragmented white-label tools and consultancy, future-proofing their operations without the need for unaffordable data engineering hires.

Kirsty headshot

Kirsty

Company Specialist

Insights

Few candidates hear
back within 2 weeks

2% employee growth in 12 months

Company

Company benefits

  • Access to our KLX platform with + 10.000 pieces of training
  • Informal work environment where you get coached by experts and receive support to help you in your professional and personal growth
  • Pension scheme
  • Private medical insurance
  • Annual bonus
  • The chance to work with different technologies
  • Be part of a company that wants to have an impact on the (digital) future
  • An international, start-up mindset community of experts spread across 18 countries

Company values

  • Excellence - We are experts who strive to exceed expectations
  • Trust - We encourage openness & transparency amongst colleagues to foster positive working relationships
  • Creativity - We reach out from our comfort zones to turn creative ideas into reality
  • Kindness - We demonstrate empathy & concern for the well-being of others
  • Fun - We take pleasure in everything we do

Company HQ

Levallois-Perret, France

Leadership

Bruno Dehouck

(Managing Director)

Experience as Manager of KPMG from 2002 to 2004. Associate for KERTIOS from 2004 to 2008.

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