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For Companies At a Glance
- Tasks: Design and lead modern data solutions using Databricks for enterprise clients.
- Company: Join a dynamic Microsoft Partner known for innovative data solutions.
- Benefits: Enjoy a hybrid work model and competitive salary up to £100,000.
- Why this job: Be at the forefront of data architecture, shaping impactful solutions across various sectors.
- Qualifications: Proven experience in data architecture with strong Databricks and programming skills required.
- Other info: Opportunity to contribute to internal capability building and thought leadership.
The predicted salary is between 60000 - 84000 £ per year.
Hybrid (Manchester or London)
Up to £100,000
Full-time, Permanent
About the Role
Our client, a dynamic Microsoft Partner, is seeking a highly skilled Data Architect with deep expertise in Databricks. This is a strategic role focused on designing, leading, and delivering modern data solutions for enterprise clients across various sectors. You will work closely with stakeholders to define architecture, modernise data platforms, and guide delivery teams through complex implementations.
Key Responsibilities
- Design and lead the architecture of modern data solutions using Databricks.
- Collaborate with clients to understand business goals and translate them into scalable technical architectures.
- Provide hands-on guidance and technical leadership throughout project lifecycles.
- Collaborate with the pre-sales team to shape client solutions, contribute to technical discovery sessions, and articulate architectural approaches.
- Support proposal development by providing technical input, solution design narratives, and estimations for data platform engagements.
- Define best practices around data modelling, ETL/ELT pipelines, and data platform scalability.
- Champion cloud-native principles and modern data stack adoption.
- Contribute to internal capability building and thought leadership within the consultancy.
Essential Skills & Experience
- Proven experience in a data architecture role.
- Extensive hands-on experience with Databricks (both engineering and SQL-focused workloads).
- Strong background in designing and building end-to-end data pipelines.
- Proficient in Python and/or Scala; solid understanding of SQL and distributed computing principles.
- Experience with Delta Lake, Lakehouse architecture, and data governance frameworks.
- Excellent client-facing and communication skills.
- Experience in Azure Data Services is desirable (e.g. Azure Data Lake, Synapse, Data Factory, Fabric).
Locations
Data Architect - Databricks employer: Accelero
Contact Detail:
Accelero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Databricks
✨Tip Number 1
Network with professionals in the data architecture field, especially those who have experience with Databricks. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Showcase your hands-on experience with Databricks by working on personal projects or contributing to open-source initiatives. This practical experience can be a great conversation starter during interviews.
✨Tip Number 3
Familiarise yourself with the latest trends in cloud-native data solutions and modern data stacks. Being knowledgeable about these topics will help you engage effectively with stakeholders and demonstrate your expertise.
✨Tip Number 4
Prepare to discuss specific examples of how you've designed and implemented data solutions in previous roles. Highlight your ability to translate business goals into technical architectures, as this is crucial for the role.
We think you need these skills to ace Data Architect - Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and data architecture. Use specific examples of projects where you've designed data solutions, focusing on your hands-on experience with data pipelines and cloud-native principles.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the job requirements, particularly your expertise in Databricks and your ability to collaborate with clients to achieve their business goals.
Showcase Technical Skills: When detailing your experience, emphasise your proficiency in Python, Scala, and SQL. Mention any relevant projects that demonstrate your understanding of Delta Lake and Lakehouse architecture, as well as your experience with Azure Data Services.
Highlight Communication Skills: Since this role involves client-facing responsibilities, make sure to illustrate your communication skills. Provide examples of how you've successfully collaborated with stakeholders or led technical discussions to shape client solutions.
How to prepare for a job interview at Accelero
✨Showcase Your Databricks Expertise
Make sure to highlight your hands-on experience with Databricks during the interview. Be prepared to discuss specific projects where you've designed and implemented data solutions using Databricks, as this will demonstrate your capability in the role.
✨Understand the Business Goals
Before the interview, research the company and its clients. Be ready to articulate how you can translate business goals into scalable technical architectures. This shows that you can align technical solutions with business needs, which is crucial for a Data Architect.
✨Prepare for Technical Questions
Expect to face technical questions related to data modelling, ETL/ELT pipelines, and cloud-native principles. Brush up on your knowledge of Python, Scala, and SQL, as well as Delta Lake and Lakehouse architecture, to confidently answer any queries.
✨Demonstrate Leadership Skills
As a Data Architect, you'll need to provide guidance throughout project lifecycles. Prepare examples of how you've led teams or collaborated with stakeholders in previous roles. This will showcase your ability to take charge and drive successful project outcomes.
