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- Tasks: Design and implement cutting-edge Databricks solutions while collaborating with a dynamic team.
- Company: Join a global data services team focused on innovative data solutions.
- Benefits: Enjoy competitive salary, benefits, and the flexibility of remote work.
- Why this job: Be at the forefront of data architecture and make a real impact in the tech world.
- Qualifications: Proven experience with Databricks, strong programming skills, and cloud platform knowledge required.
- Other info: Occasional travel may be needed; ideal for US citizens or Green Card holders.
The predicted salary is between 72000 - 108000 £ per year.
Title: Senior Databricks Architect Location: **Remote work – UNITED STATES**, Require occasional Travel Job Type: Full Time / Contract Visa: US Citizen, Green Card Please email your Updated CV to raghava.challa @ databuzzltd. com About the job We are seeking a highly skilled and experienced Databricks Architect to join our global data services team. This individual will play a key role in designing, implementing, and optimizing Databricks solutions across our organization. The ideal candidate will have deep expertise in Databricks architecture, development, security, and governance, with a proven track record of successfully delivering complex data projects. Skills & Qualifications Proven experience as a Databricks Architect with a deep understanding of the Databricks platform and its capabilities. Extensive expertise with Databricks and Apache Spark. Strong Proficiency in programming languages such as Python, Scala, or SQL Strong understanding of data warehousing concepts and ETL processes. Experience with cloud platforms like Azure, AWS Preferred Skills: Experience with machine learning, data science projects. Understanding of data governance and data quality best practices. Good to have Certification – Databricks / related technologies. Responsibilities Design, develop, and implement data solutions using Databricks. Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements. Optimize and troubleshoot Databricks environments for performance and scalability. Develop and maintain ETL pipelines and data workflows. Ensure data security and compliance with industry standards. Benefits Competitive salary and benefits
Senior Databricks Architect employer: DataBuzz
Contact Detail:
DataBuzz Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Architect
✨Tip Number 1
Make sure to showcase your hands-on experience with Databricks and Apache Spark during networking opportunities. Engage in online forums or local meetups where data professionals gather, as this can help you connect with others in the field and potentially lead to job referrals.
✨Tip Number 2
Stay updated on the latest trends and updates in Databricks and cloud platforms like Azure and AWS. Follow relevant blogs, attend webinars, and participate in online courses to enhance your knowledge and demonstrate your commitment to continuous learning.
✨Tip Number 3
Consider obtaining certifications related to Databricks or cloud technologies. Having a certification can set you apart from other candidates and shows that you have a validated skill set that aligns with the job requirements.
✨Tip Number 4
When reaching out to current employees at StudySmarter or similar companies, ask about their experiences and any tips they might have for the interview process. This insider information can give you an edge and help you prepare more effectively.
We think you need these skills to ace Senior Databricks Architect
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience as a Databricks Architect. Focus on your expertise with Databricks, Apache Spark, and relevant programming languages like Python, Scala, or SQL.
Highlight Relevant Projects: Include specific examples of complex data projects you have successfully delivered. Emphasize your role in designing, implementing, and optimizing Databricks solutions.
Showcase Your Skills: Clearly list your skills related to data warehousing concepts, ETL processes, and cloud platforms like Azure or AWS. Mention any certifications you hold in Databricks or related technologies.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are the ideal candidate for this position. Discuss your passion for data architecture and how your experience aligns with the company's needs.
How to prepare for a job interview at DataBuzz
✨Showcase Your Databricks Expertise
Be prepared to discuss your experience with the Databricks platform in detail. Highlight specific projects where you designed and implemented solutions, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Programming Proficiency
Since strong programming skills are essential for this role, be ready to talk about your experience with Python, Scala, or SQL. You might even be asked to solve a coding problem during the interview, so brush up on your coding skills beforehand.
✨Understand Data Governance
Familiarize yourself with data governance and quality best practices. Be prepared to discuss how you have ensured data security and compliance in your previous roles, as this is a key responsibility of the position.
✨Collaborative Mindset
This role requires collaboration with various stakeholders. Prepare examples of how you've successfully worked with data engineers, data scientists, and business teams to meet data requirements and deliver successful projects.
