At a Glance
- Tasks: Lead large-scale EDW migration initiatives and design adoption strategies.
- Company: Join Databricks, a leader in data intelligence and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on mentorship and career development.
- Why this job: Make a significant impact by driving successful migrations in mission-critical environments.
- Qualifications: Experience in solutions architecture and strong leadership skills.
The predicted salary is between 63900 - 78100 £ per year.
Databricks seeks a Solutions Architect (EDW Migrations) to lead migration initiatives across EMEA, partnering with GTM leadership and account teams to design adoption strategies for large-scale EDW migrations to the Databricks Data Intelligence Platform.
You will develop programmatic assets, technical guides, and assessment tooling while mentoring regional Solutions Architects and SSAs to scale adoption and ensure success in mission-critical environments.
Senior EDW Migration Solutions Architect employer: Cacheflow
Cacheflow is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals passionate about cloud security. With a strong emphasis on employee growth and development, team members are encouraged to enhance their skills while contributing to customer success. Located in a vibrant environment, Cacheflow offers unique advantages such as flexible working arrangements and the opportunity to work with cutting-edge technology in a supportive atmosphere.
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We think this is how you could land Senior EDW Migration Solutions Architect
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We think you need these skills to ace Senior EDW Migration Solutions Architect
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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