Solutions Architect - Managed Services (Cloud Data Platforms l Snowflake, AWS, Azure)

Jobot; Austin (TX); Remote; USD 165,000 - 190,000; Full time

Benefits offered by this job

Competitive base compensation + bonus

Comprehensive Benefits

4 weeks PTO + 10 holidays

Advanced training and certifications

Job summary

A leading AI and data services partner is looking for a Solutions Architect in Austin, Texas. This role involves designing large-scale cloud-native data platforms using Snowflake, AWS, and Azure. Candidates should have over 10 years of experience, with proven client-facing skills and a strong foundation in SQL and data integrations. The position offers a competitive salary, comprehensive benefits, and the chance to work in a remote-first environment, combining autonomy and collaboration.

Qualifications

• 10+ years of experience architecting cloud-native data platforms.
• Client-facing consulting experience, including presentations to executives.
• Strong technical depth in data engineering and integrations.

Responsibilities

• Lead design and implementation of cloud-native data platform solutions.
• Drive data migrations and optimize performance across systems.
• Manage client engagements and mentor junior engineers.

Skills

SQL

Infrastructure-as-code (Terraform or CloudFormation)

CI/CD (e.g., GitHub, Bitbucket)

Modern data integration tools (e.g., AWS DMS, Azure Data Factory)

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Snowflake

AWS

Azure

Job description

Overview

Solutions Architect - Managed Services (Cloud Data Platforms l Snowflake, AWS, Azure). Salary: $165,000 - $190,000 per year.

This Jobot Job is hosted by: Katrina McFillin. Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

About the company: Founded over a decade ago, we are a leading AI and data services partner helping global brands design, build, and run modern data and AI platforms on Snowflake and major cloud providers. We specialize in data engineering, analytics, and managed services, combining deep technical expertise with a global delivery model to maximize business value from data.

Why join us? Competitive base compensation + bonus; Remote first; Comprehensive Benefits; 4 weeks PTO + 10 holidays; Accelerated learning and professional development with advanced training and certifications (e.g., Snowflake, cloud); High-Impact Work: Join a specialized Elastic Operations team running mission-critical cloud data platforms for leading enterprises; Autonomy & Collaboration: Work in a culture that prizes autonomy, creativity, transparency, and cross-functional collaboration.

Job Details

• Key Responsibilities and Duties:
• Lead the design, architecture, and implementation of large-scale cloud-native data platform solutions on Snowflake, AWS, and Azure.
• Drive data migrations, integrations, and performance tuning across data warehouses, data lakes, and distributed systems to optimize reliability and cost.
• Own platform security, data governance, and process engineering to ensure robust, scalable, and continuously improving data environments.
• Manage multiple client engagements as a trusted advisor, collaborating with cross-functional teams and mentoring junior engineers to maximize platform ROI and customer success.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (advanced degrees or relevant certifications are a plus).
• At least 10 years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms (Snowflake, Redshift, Azure Data Warehouse) on AWS and/or Azure.
• Proven client-facing consulting experience, including presenting to executive stakeholders and creating detailed solution documentation.
• Strong technical depth in SQL, infrastructure-as-code (Terraform or CloudFormation), CI/CD (e.g., GitHub, Bitbucket), and modern data integration tools (e.g., AWS DMS, Azure Data Factory, Matillion, Fivetran, Spark).

How to Apply

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