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Archival Data Architect

HCLTech

Greater London

On-site

GBP 50,000 - 90,000

Full time

12 days ago

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Job summary

An established industry player is seeking a skilled Archival Data Architect to lead data archiving initiatives. In this role, you will design innovative data solutions that ensure data integrity and compliance across various sectors. With a focus on collaboration, you will work with diverse teams, providing technical leadership and guidance. This is an exciting opportunity to make a significant impact in a dynamic environment, where your expertise in data management and governance will be highly valued. If you are passionate about data and eager to drive change, this role is perfect for you.

Qualifications

  • 5+ years of experience in data archiving, management, and governance.
  • Strong understanding of data archiving solutions and data management policies.

Responsibilities

  • Design and implement data archiving solutions, ensuring data integrity.
  • Collaborate with cross-functional teams to deliver effective data solutions.

Skills

Data Archiving
Data Management
Data Governance
Python
Java
C++
Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS
Azure
Google Cloud

Job description

1 week ago Be among the first 25 applicants

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Talent Acquisition- HR APPS & SI-TAG (UK & Europe) at HCL Technologies

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion.

Job Summary:

We're looking for an experienced Archival Data Architect with a strong background in data archiving, data management, and data governance. The ideal candidate will have experience with data archiving solutions, including data storage, data retrieval, and data preservation. The Archival Data Architect will be responsible for designing and implementing data archiving solutions, ensuring data integrity, and providing technical leadership to the data management team.

Key Responsibilities:

1. *Data Archiving*: Design and implement data archiving solutions, including data storage, data retrieval, and data preservation.

2. *Data Management*: Develop and maintain data management policies, procedures, and standards.

3. *Data Governance*: Ensure data governance, including data quality, data security, and data compliance.

4. *Technical Leadership*: Provide technical leadership to the data management team, including mentoring and coaching.

5. *Collaboration*: Collaborate with cross-functional teams, including business stakeholders, data scientists, and IT teams, to ensure effective delivery of data solutions.

6. *Data Preservation*: Ensure data preservation, including data migration, data backup, and data recovery.

Requirements:

1. *Experience*: 5+ years of experience in data archiving, data management, and data governance.

2. *Data Archiving Knowledge*: Strong understanding of data archiving solutions, including data storage, data retrieval, and data preservation.

3. *Data Management Knowledge*: Strong understanding of data management policies, procedures, and standards.

4. *Data Governance Knowledge*: Strong understanding of data governance, including data quality, data security, and data compliance.

5. *Technical Skills*: Proficiency in programming languages, such as Python, Java, or C++.

6. *Communication*: Excellent communication skills, with the ability to communicate technical concepts to non-technical stakeholders.

Nice to Have:

1. *Certifications*: Certifications in data archiving, data management, or data governance, such as Certified Data Archivist or Certified Data Manager.

2. *Cloud Experience*: Experience with cloud-based data solutions, including AWS, Azure, or Google Cloud.

3. *DevOps*: Experience with DevOps practices, such as continuous integration and continuous deployment.

4. *Agile Methodologies*: Experience with Agile methodologies, such as Scrum or Kanban.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology and Other
  • Industries
    IT Services and IT Consulting

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