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Data Architect

2 months ago

Coventry, United Kingdom Stack Digital Full time

Client: Jaguar Land Rover


Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.

Job Title: Data Architect & Data Vault

Location: Coventry (Hybrid)

Department/Practice: JLR

Rate Payable to Contractors:£450 -£475 /Day

Number of Contractors Required - 2

Job Purpose and Primary Objectives:

Key Responsibilities:

  • Minimum 5 years of experience as a Data Architect, delivering operational and analytics solutions.
  • Develop and implement an organizational data strategy aligned with business processes.
  • Extensive knowledge and experience in data modeling for SQL and No-SQL platforms, including relational, dimensional, Data Vault, and document data modeling.
  • Responsible for developing conceptual, logical, and physical data models across various platforms.
  • Ability to adopt an enterprise approach, working effectively with stakeholders at all levels within the business and digital organizations.
  • Experience with modern data architecture, including cloud-based data platforms (GCP, AWS, BigQuery, Snowflake, CloudSQL) and stream processing (Kafka).
  • Experience with enterprise cloud data management and integration tools such as Informatica.
  • Collaborate with projects and programs to define, govern, and maintain the data technology architecture, including data platforms, integration, and application development.
  • Understanding of DBMS technologies and their suitability for specific applications.
  • Support the definition and management of data throughout its lifecycle, including the delivery of data dictionaries and metadata.
  • Knowledge of data analytics tools and techniques and how to effectively utilize them.

Key Skills/Knowledge:

  • Experience working in a team within roles such as Enterprise Data Architect, application development, or database development.
  • Proficient in data modeling, applying best practices.
  • Experience and knowledge of using cloud technologies like GCP, AWS, or Azure.
  • Strong ability to structure, analyze, and interpret data.
  • High level of IT literacy.