Big Data Solutions Architect - Middle East customers

Databricks; France; À distance; EUR 70 000 - 120 000; Plein temps

Résumé du poste

A leading company in the big data space is seeking a Big Data Solutions Architect to join their Professional Services team. This role involves engaging with clients on data engineering and analytics projects using the Databricks platform. You'll need proficiency in data platforms and coding, along with client-facing skills and the ability to manage complex projects across various cloud environments. This role will also entail travel to meet clients and ensure successful project delivery.

Qualifications

• Proficient in data engineering, data platforms, and analytics.
• Experience with coding in Python or Scala.
• Knowledge of AWS, Azure, or GCP with strong expertise in one.

Responsabilités

• Design and build reference architectures for customer projects.
• Guide customers in implementing big data and AI applications.
• Provide escalated support for customer operational issues.

Connaissances

Data Engineering

Cloud Platforms

Apache Spark

CI/CD

MLOps

Documentation

Client Management

Code Writing (Python/Scala)

Formation

Databricks Certification

Description du poste

Location : London Remote / Paris remote / Madrid remote

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 to get most value out of their data. RSAs are billable and know how to complete projects according to specification 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 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 leads to a customers' 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.
• As a client-facing role, 30%-50% travel time may be necessary to support meetings and engagements.
• Databricks Certification
• Experience with Middle East customers is a nice-to-have
• Arabic speaking is a nice-to-have