Sovereign Cloud Solution Architect

Hidden Jobs; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Generous PTO

Unplugged days

WFH policy

Wellness programs

Phone and internet reimbursement

Career development

Comprehensive benefits

Volunteer time

Employee resource groups

Job summary

Cloudera is seeking a mid-senior Solutions Architect to drive adoption of a hybrid data and analytics platform across AWS, Azure, and GCP. You will partner with strategic customers to identify use cases, shape best practices, and guide proof-of-concept engagements for Big Data, ML, and AI workloads.

In this role you’ll bridge engineering and field teams, contribute thought leadership internally and externally, and operate with broad autonomy while traveling up to 25% within the region.

Qualifications

• 5+ years in customer-facing pre-sales or technical architecture.
• Hands-on data/AI solutions on AWS/Azure/GCP.
• Experience with REST APIs and scripting.

Responsibilities

• Guide POCs and pilot deployments for Big Data workloads.
• Provide deep technical guidance on ETL, analytics, ML/AI on cloud.
• Collaborate with security/compliance teams on deployments.
• Lead workshops and evangelize cloud data use cases.
• Relay customer feature requests to product management.

Skills

Cloud data architecture

AWS/Azure/GCP

Pre-sales experience

Python/SQL/Bash

REST API experience

Travel willingness

Tools

EMR-like services

Dataproc/Spark

Elasticsearch/Solr

Data & AI platforms

Job description

Role overview

This mid-senior level Solutions Architect role drives adoption of a hybrid data and analytics platform running on AWS, GCP, and Azure public cloud environments. The position partners with strategic customers to identify use cases, shape best practices, and guide proof-of-concept engagements for Big Data, machine learning, and AI workloads. It bridges engineering and field teams, contributing thought leadership internally and externally while operating with broad autonomy.

Responsibilities

• Provide deep technical guidance on running ETL, analytical, streaming, and ML/AI workloads on public cloud infrastructure
• Partner with customer cloud and information security teams to explain deployment prerequisites
• Onboard proof-of-concept and pilot customers onto the cloud-based platform
• Advise on optimal configurations for Big Data workloads, balancing performance and cost effectiveness
• Lead enablement workshops and evangelize cloud data use cases at industry events
• Coordinate with security and compliance teams to align deployments with customer governance rules
• Relay customer feature requests to product management to inform roadmap direction

Requirements

• Five or more years in a customer-facing pre-sales, technical architecture, or consulting capacity, ideally spanning multiple public clouds
• Hands‑on experience implementing Data and AI solutions on AWS, Azure, or GCP using services analogous to EMR, HDInsight, Dataproc, Spark, Presto, Solr, or Elasticsearch
• Comfort programming in at least one of Python, Bash, or SQL, with working knowledge of REST APIs
• Self‑directed work style within a small, agile, and globally distributed team
• Willingness to travel up to 25% domestically and internationally as conditions permit

Nice to have

• Public Cloud certifications in architecture, security, or development
• Multilingual ability, public speaking, technical marketing, or production‑grade coding background
• Experience presenting to multinational enterprise or government audiences, including executive stakeholders

Benefits and work setup

• generous paid time off policy
• unplugged days
• a flexible work‑from‑home policy
• mental and physical wellness programs
• phone and internet reimbursement
• access to continued career development
• comprehensive benefits and competitive compensation
• paid volunteer time
• employee resource groups

The role supports remote work within the specified region.