Work on customer projects: architecture, reference designs, production use cases.
Collaborate with engagement managers to scope professional services work.
Guide customers through end-to-end big data and AI deployments.
Consult on architecture and design; bootstrap or implement projects.
Provide escalated support for customer operational issues.
Collaborate with engineering and support teams to deliver results.

🎯 Requirements

6+ years in data engineering, data platforms and analytics.
Proficient in Python or Scala.
Experience with two or more cloud ecosystems (AWS, Azure, GCP).
Deep experience with Apache Spark and runtime internals.
CI/CD for production deployments and MLOps.
Design and deployment of end-to-end data architectures.

🎁 Benefits

Comprehensive benefits and region-specific details.
Global presence with offices worldwide.
Commitment to diversity and inclusion.

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