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For Companies At a Glance
- Tasks: Lead the design and development of a cutting-edge Unified Data Platform.
- Company: Join a forward-thinking team focused on transformative data solutions.
- Benefits: Enjoy hybrid working options and a dynamic work environment.
- Why this job: Be at the forefront of data innovation and make a real impact.
- Qualifications: Extensive Databricks experience and proficiency in PySpark, Python, and SQL required.
- Other info: This is a 6-month contract role with opportunities for growth.
The predicted salary is between 43200 - 72000 £ per year.
Databricks Architect
London (Hybrid Working)
6-Month Contract
Are you a visionary data professional ready to lead the architecture and delivery of transformative data solutions? We are seeking a skilled Databricks Architect to play a pivotal role in building a cutting-edge Unified Data Platform (UDP). This is an opportunity to design and implement a scalable data ecosystem that fuels advanced analytics, data-driven decision-making, and innovation.
Role Overview
As a Databricks Architect, you will focus on architecting a robust and scalable Unified Data Platform, ensuring its alignment with business objectives and technical excellence. This includes designing data pipelines, optimizing system performance, and integrating diverse data sources. You\’ll also work closely with vendors and internal teams to deliver solutions that meet present and future needs.
Key Responsibilities
- Architect and Design: Lead the design and development of the Unified Data Platform to serve as the foundation for advanced analytics and operational excellence.
- Optimize and Develop: Architect scalable, efficient data pipelines and frameworks to ensure consistent code quality and deployment processes.
- System Integration: Establish and maintain robust connections between Databricks and other systems, unifying disparate data sources.
- Vendor Collaboration: Collaborate with third-party providers to expand and scale platform resources as necessary.
- Legacy Migration: Oversee the migration of legacy data systems, ensuring smooth transitions and decommissioning outdated infrastructure.
Essential Skills and Experience
- Databricks Expertise: Extensive experience in designing and managing data platforms using Databricks, with a strong focus on scalability and performance optimization.
- Data Engineering Tools: Proficiency in PySpark and Python for creating efficient, scalable data pipelines and transformations.
- SQL Proficiency: Advanced SQL skills for querying and managing large datasets.
- Azure Tech Stack: Hands-on experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, and Azure Storage.
- Data Strategy: Strong ability to translate business needs into technical requirements and data architecture strategies.
Contact Detail:
Osmii Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Architect
✨Tip Number 1
Familiarize yourself with the latest features and updates in Databricks. Being well-versed in the platform's capabilities will not only boost your confidence but also demonstrate your commitment to staying current in this rapidly evolving field.
✨Tip Number 2
Network with professionals in the data engineering community, especially those who have experience with Databricks. Engaging in discussions or attending meetups can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of past projects where you successfully designed and implemented data solutions. Be ready to discuss how you optimized performance and integrated various data sources.
✨Tip Number 4
Research StudySmarter’s current data initiatives and align your expertise with our goals. Tailoring your conversation during interviews to reflect how you can contribute to our Unified Data Platform will make a strong impression.
We think you need these skills to ace Databricks Architect
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of the Databricks Architect position. Highlight your relevant experience in designing and managing data platforms, especially with Databricks.
Tailor Your CV: Customize your CV to emphasize your expertise in Databricks, PySpark, Python, and SQL. Include specific examples of projects where you architected scalable data solutions or optimized system performance.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and your ability to translate business needs into technical solutions. Mention any experience with Azure data services and how it aligns with the company's goals.
Highlight Collaboration Skills: Since the role involves vendor collaboration and working with internal teams, make sure to highlight your teamwork and communication skills. Provide examples of successful collaborations in past projects.
How to prepare for a job interview at Osmii
✨Showcase Your Databricks Expertise
Be prepared to discuss your experience with Databricks in detail. Highlight specific projects where you designed and managed data platforms, focusing on scalability and performance optimization.
✨Demonstrate Your Data Engineering Skills
Make sure to illustrate your proficiency in PySpark and Python. Prepare examples of how you've created efficient, scalable data pipelines and transformations in previous roles.
✨Discuss SQL Proficiency
Since advanced SQL skills are essential, be ready to talk about your experience querying and managing large datasets. Consider discussing specific challenges you've faced and how you overcame them.
✨Align Technical Solutions with Business Needs
Prepare to explain how you've translated business requirements into technical solutions in the past. This will demonstrate your ability to align data architecture strategies with organizational goals.
