Resident Solutions Architect - Manufacturing
Resident Solutions Architect works on customer engagements using Databricks platform for data engineering, data science, and cloud projects. Requires 6+ years in data engineering, Spark expertise, cloud knowledge, and client project delivery skills.
About the job
Responsibilities
- Handle customer technical projects including designing reference architectures, creating how-to's, and productionalizing use cases.
- Work with engagement managers to scope professional services work.
- Guide customers on big data projects, 3rd party migrations, end-to-end design, build, and deployment of big data and AI applications.
- Consult on architecture and design; bootstrap or implement customer projects.
- Provide escalated support for customer operational issues.
- Collaborate with Databricks teams to deliver technical components.
- Work with Engineering and Customer Support for product feedback and issue resolution.
Requirements
- 6+ years experience in data engineering, data platforms & analytics.
- Comfortable writing code in Python or Scala.
- Working knowledge of two or more 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 for Databricks-based solutions.
- Ability to travel up to 30% when needed.
Skills
Python, Scala, Spark, AWS, Azure, GCP, CI/CD, MLOps, Databricks
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