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Title

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Senior Data Architect

Description

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We are looking for a Senior Data Architect to join our team. The successful candidate will be responsible for designing, creating, deploying, and managing the organization's data architecture. This includes defining how data will be stored, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data in some way. It is the Senior Data Architect's responsibility to provide a framework that includes the policies, standards, and models that govern data collection, storage, arrangement, integration, and use. The Senior Data Architect will also oversee the strategic data-related projects, ensuring they align with the company's business objectives. The ideal candidate will have a proven track record in data architecture, excellent analytical skills, and the ability to work collaboratively with both IT and business teams.

Responsibilities

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  • Develop and implement strategic data plans.
  • Design, create, deploy, and manage the organization's data architecture.
  • Define how data will be stored, consumed, integrated, and managed by different data entities and IT systems.
  • Provide a framework that includes the policies, standards, and models that govern data collection, storage, arrangement, integration, and use.
  • Oversee strategic data-related projects, ensuring they align with the company's business objectives.
  • Collaborate with IT and business teams.
  • Ensure data systems are compliant with data security and privacy regulations.
  • Monitor the performance of data systems and make necessary improvements.
  • Train and mentor junior data architects.
  • Stay up-to-date with the latest industry trends and technologies.

Requirements

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  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Architect.
  • Strong knowledge of database structure systems and data mining.
  • Excellent analytical and problem-solving skills.
  • Familiarity with data visualization tools.
  • Proficiency in SQL and Oracle.
  • Understanding of machine learning models and AI.
  • Knowledge of data security and privacy regulations.
  • Excellent communication and leadership skills.
  • Ability to work collaboratively with both IT and business teams.

Potential interview questions

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  • Can you describe a time when you had to design a complex data system?
  • How do you ensure data security in the systems you design?
  • Can you explain your experience with machine learning models and AI?
  • How do you stay up-to-date with the latest industry trends and technologies?
  • Can you describe a time when you had to train or mentor a junior data architect?