Data Architect / Engineer

Ref: ZR_6086_JOB  ·  Posted on 30 June 2021
Key responsibilities

The Key Responsibilities of a Data Architect / Data Engineer:

  •  Define the best practices for Data Management, assurance and security including data standards, reporting and analytics
  • Work with clients to integrate these best practices into their data governance and wider enterprise governance structures
  •  Work with clients to formulate their vision and work with them to develop, communicate and deliver a roadmap to realise it
  • Translate visions, goals, objectives and high-level requirements into clearly defined and actionable packages of work
  • Develop technology specifications that ensure new technology solutions are designed for optimal access and usefulness, for leveraging company data
  • Apply architectural and business concepts to design a solution that meets operational requirements, such as scalability, maintainability, security, reliability, extensibility, flexibility, availability and manageability
  • Enable change by understanding existing business norms, identifying and capturing needs and recommending technical solutions that deliver value to clients and their key stakeholders
  • Use Systems Thinking and Systems Engineering methods for enterprise level problem solving and design
  • Applying data architecture disciplines to new fields such as Machine Learning and Artificial Intelligence
  • Produce a holistic view of the architecture which can be viewed and understood from a variety of viewpoints and levels.
Skills & experience
  • A degree in a science, computing or engineering subject, or equivalent experience
  • Proven work experience as a Data Architect, Data Scientist, Data Analyst or similar role
  • Experience with the use of Enterprise Architecture frameworks such as ISO42010, TOGAF, Zachman and the ITIL and IT4IT service architecture frameworks
  • Experience of information systems design and delivery, applying engineering rigour through Enterprise Architecture development methods and tools as appropriate
  • In-depth understanding of database structure principles
  • Experience gathering and analysing system requirements
  • Expertise in SQL
  • Knowledge an inexperience in at least one of the following: UML, ERD, ETL,OLAP
  • Knowledge of Python or similar
  • Familiarity with data visualization tools (e.g. Tableau, Power BI and R)
Additional benefits
  • Pension Plan
  • Life Assurance – Life assurance will be 4 x salary for new starters, whether or not they are in a pension scheme.
  • Holidays – Basic entitlement 25 days with option to buy an additional 15 days or to sell 5 days.
  • Income Protection – All annual salaried UK employees who are aged between 16 to state pension age except casual employees who are hourly paid.
  • Professional Fees – Annual subscription reimbursed for membership of a professional body relevant to your role with the client.
  • Season Ticket Loan – All UK employees are eligible on successful completion of their probationary period.
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Data Engineering

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