Data Architect with Data bricks

  • Posted 11 hours ago | Updated 10 hours ago

Overview

Remote
$60 - $80
Full Time

Skills

Amazon Web Services
Cloud Computing
Customer Facing
Data Engineering
Professional Services
SQL
Python
Data Bricks
Terraform
Solution Architecture
Microsoft Azure
Google Cloud Platform
ARM
Databricks

Job Details

As a  Architect at StarX Technologies, you will work with Fortune 500 clients to design, implement, and optimize cloud-native solutions. You ll provide technical leadership across multi-cloud environments and ensure our clients achieve business outcomes through innovative cloud architectures.

Key Responsibilities


  • Design end-to-end cloud architectures leveraging AWS, Azure, and Google Cloud Platform

  • Collaborate with client stakeholders to align cloud solutions with business goals

  • Lead cloud migration and modernization projects

  • Ensure best practices in security, governance, and compliance

  • Mentor cloud engineers and solution teams

  • Stay up to date with latest cloud trends and services

Requirements


  • 10+ years of experience in data engineering, solution architecture, and customer facing technical hands-on roles

  • 6+ years of experience in Distrubuted computing, Databricks, Spark, Python or Scala, SQL, Delta lake, Unity Catalog, and Data Model

  • Ability to work independently in a challenging and fast-paced environment with minimal supervision

  • Expertise in one of the (AWS, Azure, and Google Cloud Platform) cloud services

  • Strong knowledge of cloud security, CI/CD, and infrastructure as code (IaC) with hands-on experience in Terraform, CloudFormation, or ARM templates

  • Bachelor s or Master s degree in Computer Science or related field

  • Excellent client-facing communication skills and ability to present complex technical concepts to non-technical stakeholders

  • Experience managing technical relationships with customers and partners ecosystems

Preferred Qualifications


  • Databricks certifications and strong spark experience

  • Experience with hybrid cloud

  • Knowledge of cloud cost optimization practices

  • Background in consulting or professional services

 

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