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Senior Data Architect - Consulting

  • Location:

    Manchester

  • Sector:

    Technology

  • Job type:

    Permanent

  • Salary:

    £75000 - £85000 per annum + car, pension, bonus

  • Contact:

    Damian Shaw

  • Contact email:

    Damian.Shaw@oliverjames.com

  • Job ref:

    JOB-022024-238370_1708100802

  • Published:

    5 mesi fa

  • Expiry date:

    2024-03-17

  • Startdate:

    ASAP

Oliver James Associates are partnered with a global consulting group in their search for a Senior Data Architect.

This is a role which can be hybrid-based in any region of the UK. The role will pay between £75,000 - £85,000 basic salary excluding bonuses, favourable pension and broad and flexible benefits.

Oliver James Associates are partnered with a global consulting group in their search for a Senior Data Architect.

This is a role which can be hybrid-based in any region of the UK. The role will pay between £75,000 - £85,000 basic salary excluding bonuses, favourable pension and broad and flexible benefits.

As a Senior Data Architect, you'll be providing expert data architecture services to a range of pan-industry clients; encompassing aspects such as business objectives, requirements, data, processes, and technology.

Skills and Capabilities:

* Robust experience in operating as a Management Consultant within Data Architecture
* Leadership on client bids, relationships and strategic development.
* Successful completion of significant data architecture assignments in Data and Business Intelligence
* Good knowledge of all aspects of the data team, from acquisition and processing to exploitation
* Clear and logical problem-solving with strong analysis skills
* Experience in and contribution to applicable best practices/methodologies
* Numeric Degree in Computer Science, Engineering, Mathematics, Sciences, or equivalent

Technical Skills:

* Proficient in cloud technologies and solutions (e.g., AWS, Azure, Google Cloud)
* Expertise in data science and machine learning applications
* Familiarity with data governance and security best practices
* Hands-on experience with data integration tools and ETL processes
* Knowledge of modern data storage and processing frameworks
* Skills in programming languages commonly used in data engineering (e.g., Python, SQL)
* Understanding of DevOps principles in the context of data architecture

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