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Senior Solutions Architect: Big Data, Spark & ML

DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD.

Singapore

On-site

SGD 100,000 - 125,000

Full time

4 days ago
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Job summary

A global leader in analytics solutions in Singapore is looking for a Sr. Specialist Solutions Architect to guide customers in building big data solutions. In this customer-facing role, you will provide technical leadership on various data technologies, optimize production workloads, and contribute to the Databricks Community. Candidates should have experience in data engineering, machine learning, and programming with Apache Spark, Python, or Java. You will also collaborate closely with Solution Architects on advanced technical sales and education initiatives.

Qualifications

  • Experience in a customer-facing technical role.
  • Production programming experience in languages such as Python, R, Scala, or Java.
  • Experience with big data technologies like Spark/Delta, Hadoop, NoSQL.

Responsibilities

  • Guide customers in building big data solutions.
  • Architect production level workloads and optimize performance.
  • Provide technical expertise in data management, cloud platforms, and architecture.

Skills

Apache Spark™ expertise
Data Engineering
Performance tuning
Machine Learning
Data Management
Cloud Platforms

Education

Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

Tools

Python
R
Scala
Java
AWS
Azure
GCP
Job description
A global leader in analytics solutions in Singapore is looking for a Sr. Specialist Solutions Architect to guide customers in building big data solutions. In this customer-facing role, you will provide technical leadership on various data technologies, optimize production workloads, and contribute to the Databricks Community. Candidates should have experience in data engineering, machine learning, and programming with Apache Spark, Python, or Java. You will also collaborate closely with Solution Architects on advanced technical sales and education initiatives.
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