At a Glance
- Tasks: Lead data migration to the Kraken platform and ensure high-quality data.
- Company: A leading global technology firm with a focus on innovation.
- Benefits: Competitive salary, health care, pension, and wellness programs.
- Other info: Full-time role with opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact in data migration.
- Qualifications: Experience in data engineering and knowledge of data quality governance.
The predicted salary is between 63000 - 77000 £ per year.
A leading global technology firm is seeking an experienced SME Data Migration Architect to lead the transition of data to the Kraken platform.
The ideal candidate will have significant experience in data engineering and strong knowledge of data quality and migration governance.
You will work closely with technical teams to ensure high-quality, audit-ready data, and manage the end-to-end data migration process.
This full-time position offers a competitive salary and extensive benefits including health care, pension and wellness programs.
Data Migration Architect – End-to-End & Cohort-Based in London employer: Tata Consultancy Services Limited
As an IBM WebMethods Developer, you will thrive in a dynamic and innovative work environment that prioritises employee growth and collaboration. Our company offers comprehensive benefits, a supportive culture that encourages continuous learning, and unique opportunities to work on cutting-edge integration solutions in a vibrant location. Join us to be part of a team that values your contributions and fosters meaningful career advancement.
Contact Details:
Tata Consultancy Services Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Architect – End-to-End & Cohort-Based in London
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We think you need these skills to ace Data Migration Architect – End-to-End & Cohort-Based in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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