At a Glance
- Tasks: Design and maintain a cutting-edge data platform using Databricks Lakehouse and Salesforce.
- Company: Join a global tech leader shaping the future of data architecture.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and continuous learning.
- Why this job: Be at the forefront of data innovation and make a significant impact.
- Qualifications: Extensive experience in data architecture and strong skills in Databricks and Salesforce.
The predicted salary is between 70000 - 90000 £ per year.
A global technology company is seeking a Data Architect to build an integrated data platform based on a unified data lakehouse architecture.
You will be responsible for:
- Designing and maintaining unified data models linking CRM, ERP, and product telemetry.
- Architecting and optimising Databricks Lakehouse.
- Leading data governance, quality, and lineage.
- Defining framework and standards to improve data consistency and reliability across the company.
- Leading integration strategies, including scalable onboarding of acquired company data.
- Enabling Real Time, event-driven data flows and promoting Data-as-Code practices across the organisation.
Required Experience:
- Extensive experience in enterprise data architecture.
- Strong expertise in Databricks.
- Deep knowledge of Salesforce data models and exposure to various cloud ERP systems.
- Data modelling.
- SQL and Python.
- Experience with APIs, Real Time data pipelines, and data governance.
- Strong communication skills, with the ability to explain complex data concepts to both technical and non-technical audiences.
Data Architect/Databricks Lakehouse, Salesforce employer: Careerwise
As a leading global technology company, we pride ourselves on fostering a dynamic work environment that encourages innovation and collaboration. Our commitment to employee growth is evident through comprehensive training programmes and opportunities to work with cutting-edge technologies like Databricks and Salesforce. Located in a vibrant tech hub, we offer competitive benefits, a supportive culture, and the chance to make a significant impact in the data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect/Databricks Lakehouse, Salesforce
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data architecture or Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with data models, SQL, and Python. Use real-world examples to demonstrate how you've tackled challenges in data governance and integration strategies.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, so you can impress both technical and non-technical interviewers. We all know how important that is!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Architect/Databricks Lakehouse, Salesforce
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience with Databricks, Salesforce, and any relevant data architecture projects. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've designed data models or optimised data flows. We love seeing real-world applications of your skills, so don’t hold back on the details!
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your experience and avoid jargon unless it’s necessary. We appreciate a well-structured application that’s easy to read.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Careerwise
✨Know Your Data Inside Out
Make sure you’re well-versed in data architecture principles, especially around Databricks and Salesforce. Brush up on your knowledge of unified data models and be ready to discuss how you would design and maintain them.
✨Showcase Your Technical Skills
Prepare to demonstrate your expertise in SQL and Python during the interview. You might be asked to solve a problem or explain how you would approach a specific data challenge, so practice articulating your thought process clearly.
✨Communicate Like a Pro
Since strong communication skills are key, think about how you can explain complex data concepts simply. Prepare examples where you've successfully communicated technical information to non-technical stakeholders.
✨Be Ready for Real-Time Scenarios
Expect questions about real-time data flows and event-driven architectures. Have examples from your past experience where you’ve implemented these strategies, and be prepared to discuss the impact they had on the organisation.
