At a Glance
- Tasks: Design and implement big data solutions using the Databricks platform for diverse clients.
- Company: Join a leading tech company committed to innovation and inclusivity.
- Benefits: Comprehensive benefits, remote work options, and a focus on professional growth.
- Other info: Dynamic role with opportunities for travel and collaboration in a supportive environment.
- Why this job: Make a real impact by solving big data challenges and transforming client projects.
- Qualifications: Experience in data engineering, coding in Python or Scala, and cloud ecosystems.
The predicted salary is between 60000 - 80000 £ per year.
We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect. You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.
As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data. RSAs are billable and must complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
Impact
- Work on a variety of impactful customer technical projects including designing and building reference architectures, creating how-to's and productionalizing customer use cases.
- Work with engagement managers to scope professional services work with input from the customer.
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications.
- Consult on architecture and design; bootstrap or implement customer projects which lead to a customer's successful understanding, evaluation and adoption of Databricks.
- Provide escalated support for customer operational issues.
- Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.
Qualifications
- Extensive experience in data engineering, data platforms & analytics.
- Comfortable writing code in Python or Scala.
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps.
- Design and deployment of performant end-to-end data architectures.
- Experience with technical project delivery – managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 10% of the time.
- Databricks Certification is preferred but not essential.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please consult the company portal.
Diversity & Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We ensure our hiring practices are inclusive and meet equal employment opportunity standards. All candidates are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Data Platform Solutions Architect (Professional Services) in London employer: WinsAbove
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid London location provides employees with the flexibility to balance their professional and personal lives while engaging in impactful projects that drive customer success. With a strong commitment to diversity and inclusion, as well as ample opportunities for professional growth and development, Databricks is the ideal place for talented individuals looking to make a meaningful impact in the world of big data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Solutions Architect (Professional Services) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data engineering and big data solutions. This will give potential employers a taste of what you can do and how you tackle real-world challenges.
✨Tip Number 3
Prepare for interviews by practising common questions related to data platforms and cloud technologies. Be ready to discuss your experience with tools like Apache Spark and Databricks, as well as how you've solved problems in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Databricks.
We think you need these skills to ace Data Platform Solutions Architect (Professional Services) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Platform Solutions Architect role. Highlight your experience with data engineering, cloud ecosystems, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about big data and how your background makes you a perfect fit for our Professional Services team. Don’t forget to mention your familiarity with Databricks!
Showcase Your Technical Skills:Since this role involves coding in Python or Scala, make sure to include any relevant projects or experiences that demonstrate your technical prowess. If you've worked with Apache Spark or CI/CD, shout about it!
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 right position based on your experience and skills.
How to prepare for a job interview at WinsAbove
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of data engineering, cloud ecosystems, and distributed computing. Be ready to discuss your experience with Python or Scala, and how you've used Apache Spark in past projects. This role is all about technical depth, so show them you know your stuff!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled big data challenges in previous roles. Think about times when you had to integrate client systems or resolve operational issues. Highlight your ability to manage scope and timelines while delivering excellent customer service.
✨Engage with the Interviewers
Don’t just answer questions—engage in a conversation! Ask insightful questions about their current projects and how they use Databricks. This shows your genuine interest in the role and helps you understand their expectations better.
✨Demonstrate Your Documentation Skills
Since documentation and white-boarding skills are crucial for this position, be prepared to discuss how you've documented processes or created reference architectures in the past. You might even want to bring a portfolio of your work to showcase your abilities.
