Big Data Solutions Architect (DE, Spark)
Big Data Solutions Architect (DE, Spark)

Big Data Solutions Architect (DE, Spark)

London Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team as a Big Data Solutions Architect, tackling exciting data challenges with clients.
  • Company: Databricks is a leading data and AI company trusted by over 10,000 organisations globally.
  • Benefits: Enjoy comprehensive benefits, remote work options, and a commitment to diversity and inclusion.
  • Why this job: Make a real impact on transformative big data projects while working in a dynamic, inclusive culture.
  • Qualifications: Proficiency in data engineering, coding in Python or Scala, and experience with cloud ecosystems required.
  • Other info: Travel may be required up to 10%, with opportunities for professional growth and Databricks certification.

The predicted salary is between 43200 - 72000 Β£ per year.

We have 9 open positions based in our London office.

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 know how to complete projects according to specifications with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

  • You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to\’s and productionalizing customer use cases
  • Work with engagement managers to scope a variety of 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 an escalated level of support for customer operational issues.
  • You will 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.

What we look for:

  • Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices
  • Comfortable writing code in either 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 is required up to 10%, more at peak times.
  • Databricks Certification

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide β€” including Comcast, CondΓ© Nast, Grammarly, and over 50% of the Fortune 500 β€” rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks 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.

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Big Data Solutions Architect (DE, Spark) employer: Databricks Inc.

At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in our London office. Our commitment to employee growth is evident through comprehensive training opportunities and a focus on diversity and inclusion, ensuring that every team member can thrive while tackling impactful big data projects. With competitive benefits and the chance to work with industry-leading technologies, joining Databricks means becoming part of a forward-thinking team dedicated to transforming the data landscape.
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Contact Detail:

Databricks Inc. Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Big Data Solutions Architect (DE, Spark)

✨Tip Number 1

Familiarise yourself with the Databricks platform and its capabilities. Understanding how to leverage Databricks for big data challenges will not only help you in interviews but also demonstrate your commitment to the role.

✨Tip Number 2

Network with current employees or professionals in the field. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.

✨Tip Number 3

Brush up on your coding skills, particularly in Python or Scala. Being able to showcase your coding proficiency during discussions can set you apart from other candidates.

✨Tip Number 4

Prepare to discuss your experience with cloud ecosystems and distributed computing. Be ready to share specific examples of projects you've worked on that align with the job requirements, as this will highlight your relevant expertise.

We think you need these skills to ace Big Data Solutions Architect (DE, Spark)

Data Engineering
Apache Spark
Python
Scala
Cloud Ecosystems (AWS, Azure, GCP)
Distributed Computing
MLOps
CI/CD for Production Deployments
Technical Project Delivery
Documentation Skills
Client Management
Conflict Resolution
End-to-End Data Architecture Design
Databricks Certification
Customer Engagement

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience in data engineering, cloud ecosystems, and distributed computing. Use specific examples of projects you've worked on that relate to the job description.

Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about big data solutions and how your skills align with the role. Mention your familiarity with Databricks and any relevant certifications you hold.

Showcase Technical Skills: Clearly outline your proficiency in Python or Scala, as well as your experience with Apache Spark. Include any relevant projects that demonstrate your ability to design and deploy data architectures.

Highlight Client Engagement Experience: Since the role involves working closely with clients, emphasise your experience in managing client relationships and resolving conflicts. Provide examples of how you've successfully delivered technical projects in a customer-facing role.

How to prepare for a job interview at Databricks Inc.

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data engineering, Apache Spark, and cloud ecosystems like AWS or Azure. Highlight specific projects where you've successfully implemented solutions, as this will demonstrate your hands-on expertise.

✨Understand the Databricks Platform

Familiarise yourself with the Databricks platform and its capabilities. Be ready to explain how you would leverage it to solve big data challenges for clients, as this shows your commitment to understanding their tools and services.

✨Prepare for Client Interaction Scenarios

Since the role involves working closely with clients, think of examples where you've managed client relationships or resolved conflicts. This will illustrate your customer service skills and ability to communicate effectively in a professional setting.

✨Demonstrate Project Management Experience

Discuss your experience in managing technical projects, including scoping, timelines, and delivery. Providing examples of how you've successfully led projects will reassure interviewers of your capability to handle the responsibilities of the role.

Big Data Solutions Architect (DE, Spark)
Databricks Inc.
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