Solutions Architect (Professional Services)

Databricks, Inc.; Camden Town; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading data analytics company is seeking a Solutions Architect to work on customer engagements related to big data challenges. The role involves data engineering, implementing cloud technology projects, and consulting on architecture and design to ensure customer success in using the Databricks Platform. Key qualifications include proficiency in Python/Scala, strong knowledge of cloud ecosystems, and experience with Apache Spark.

Qualifications

• Proficient in data engineering and platforms.
• Strong track record of successful projects.
• Experience managing scope and timelines effectively.

Responsibilities

• Work on impactful customer technical projects.
• Guide strategic customers in big data implementations.
• Provide escalated support for customer operational issues.
• Collaborate with technical teams to deliver engagement components.

Skills

Data engineering

Data platforms

Analytics

Python

Scala

Cloud ecosystems (AWS, Azure, GCP)

Apache Spark

MLOps

CI/CD

Technical project delivery

Education

Databricks Certification

Job description

Overview

As a 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 productionalising customer use cases.
• Work with engagement managers to scope a variety of professional services 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 leads 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 the customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution of engagement-specific product and support issues.
• 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.