Big Data Solutions Architect - Emerging Enterprise Digital Natives
Big Data Solutions Architect - Emerging Enterprise Digital Natives
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Job Description
CSQ326R13
As a Big Data Solutions Architect (Resident Solutions Architect) on our Professional Services team for the Emerging Enterprise & Digital Natives business in EMEA you will engage with customers on short to mediumterm projects helping them navigate their big data challenges using the Databricks Platform. You will deliver data engineering data science and cloud technology solutionsintegrating with customer systems delivering training and other technical activities that maximise the value customers derive from their data. As a billable consultant you will ensure projects are completed on time within scope and with a bestinclass customer experience. In this role you will report to the regional Professional Services Lead.
The impact you will have:
- Drive highimpact customer projects: Design and build reference architectures implement production use cases and create howto guides tailored to the unique needs of fastmoving Emerging Enterprise & Digital Native customers in EMEA.
- Collaborate on project scoping: Work closely with Engagement Managers and customers to define project scope schedules and deliverables for professional services engagements.
- Enable transformational initiatives: Guide strategic customers through their endtoend big data journeysmigrating from legacy platforms and deploying industryleading data and AI applications on the Databricks platform.
- Consult on architecture & design: Provide thought leadership on solution design and implementation strategies ensuring customers can successfully evaluate and adopt Databricks.
- Offer advanced support: Serve as an escalation point for operational issues collaborating with Databricks Support and Engineering to resolve challenges quickly.
- Align technical delivery: Partner with crossfunctional Databricks teams (Technical PM Architecture and Customer Success) to align on milestones ensuring customer needs and deadlines are met.
- Amplify product feedback: Provide implementation insights to Databricks Product and Support teams guiding rapid improvements in features and troubleshooting for customers.
What we look for:
- Extensive experience and proficiency in data engineering data platforms and analytics with a strong track record of successful projects and indepth 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 Spark and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Design and deployment of performant endtoend data architectures
- Experience with technical project delivery managing scope and timelines.
- Documentation and whiteboarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas which support the deployment and integration of Databricksbased solutions to complete customer projects.
- Travel to customers 30 of the time
- Databricks Certification
Employment Type
Full Time
