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Databricks Architect

Remote: 
Full Remote
Contract: 
Full time
Work from: 
California (USA)

Offer summary

Qualifications:

10+ years of experience in data engineering, data platforms, and analytics., Completed Data Engineering Professional certification and required classes., Hands-on experience in development on Databricks and familiarity with CI/CD for production deployments., Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) and deep expertise in at least one..

Key responsibilities:

  • Act as a Resident Solutions Architect, providing expertise in Databricks and data engineering.
  • Engage in consulting activities to enhance client data capabilities and analytics.
  • Develop and implement solutions using Databricks and distributed computing with Spark.
  • Stay updated on Databricks product features and assist in MLOps initiatives.

Data piper logo
Data piper Scaleup https://datapipertech.com/
51 - 200 Employees
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Job description

Company Description

Data Piper provides specialized and competitive talent to help you build your team's capabilities and success. Our staff have proven experience from the most competitive companies in Silicon Valley, so you know they have the experience and dedication that you can trust. For short or long-term assignments, we will take the hassle out of finding the next perfect fit for your team.

Job Description

Title: Resident Solutions Architect

Job Type: Fulltime

Location: Remote

 

·10+ years experience in data eng, data platforms & analytics, 10+ years of consulting experience

·Completed Data Engineering Professional certification & required classes

·Hands-on experience in development on databricks

·Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one

·Deep experience with distributed computing with Spark with knowledge of Spark runtime internals

·Familiarity with CI/CD for production deployments

·Working knowledge of MLOps

·Current knowledge across the breadth of Databricks product and platform features

 

Qualifications

Databricks, Unity Catalog, DLT Familiarity with Machine Learning

Additional Information

All your information will be kept confidential according to EEO guidelines.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data EngineeringCloud ComputingDatabricksApache SparkMicrosoft AzureAWS Cloud ServicesMLOps (Machine Learning Operations)gRPCDlib (C++ Library)CI/CDMachine Learning
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