drjobs Sr Specialist Solutions Architect - Data Engineering Spark

Sr Specialist Solutions Architect - Data Engineering Spark

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1 Vacancy
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Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

FEQ326R272

This role requires candidates to work onsite in San Francisco CA 34 times a week and to have handson experience with Apache Spark.

Were hiring a Specialist Solutions Architect (SSA) to support a strategic enterprise customer as they scale their adoption of Databricks. This is a handson data engineeringfocused role where youll work sidebyside with the customers technical teams to build robust productionready data and AI pipelines. Youll play a critical role in guiding architectural decisions helping the customer optimize their Spark workloads and ensuring a successful deployment of Databricks across their organization. From building scalable data pipelines to troubleshooting complex Spark jobs your work will directly impact how this organization extracts value from their data. This is an opportunity to lead from the front.

The impact you will have:

  • Help a major customer realize the full potential of Databricks through technical excellence partnership and a relentless focus on outcomes
  • Unblock technical challenges accelerate migration efforts and drive meaningful outcomes from day one
  • Collaborate closely with Databricks product and engineering teams to share customer feedback and help shape future platform capabilities
  • Codify best practices and contribute to internal knowledge bases that scale the impact of the Specialist Solutions Architect team


What we look for:

  • 7 years of handson data engineering experience with deep expertise in Apache Spark and distributed data processing
  • Experience working across cloud platforms (preferably Azure) understanding the nuances of modern storage formats like Delta and Iceberg and building scalable pipelines using orchestration tools like Airflow
  • Experienced in tuning Spark jobs for performance and cost addressing complex issues such as data skew shuffle inefficiencies and memory leaks
  • Strong ownership of problems from endtoenddiving deep learning quickly and doing whatever it takes to deliver results
  • Ability to clearly and empathetically communicate complex technical concepts adapting effortlessly to both technical and nontechnical audiences
  • Someone who thrives in collaborative customerfacing environments and knows how to turn strategic goals into scalable working systems


Required Experience:

Senior IC

Employment Type

Full Time

Company Industry

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