Solutions Architect - (AI / ML Data Engineering)

Shape the Future of Data & AI — Architect Solutions That Scale

This Jobot Job is hosted by : Robert Donohue

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Salary : $140,000 - $160,000 per year

A bit about us :

We’re a global leader in data and AI / ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data.

With a decade of 40%+ year-over-year growth, we’ve become a 6x Snowflake Partner of the Year (2020–2025) and earned accolades as an award-winning workplace in the US, LATAM, and India.

We’re a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You’ll work alongside some of the brightest minds in data engineering and AI / ML — all driven by a shared passion to solve the toughest data challenges for leading global enterprises.

Why join us?

• Competitive Compensation : $140,000 – $190,000+ base salary (depending on experience)
• Remote-First : Work from anywhere in the US with occasional customer-site travel nationwide
• Massive Growth : Be part of a company growing 40% YOY, creating career advancement opportunities
• Cutting-Edge Tech : Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more
• Award-Winning Culture : Collaborative, inclusive, and committed to professional development
• Learning & Development : Accelerated training, advanced certifications, and exposure to AI / ML innovation
• Time Off & Benefits : 4 weeks PTO, 10 paid holidays, health / dental / vision insurance, 401(k), and additional perks

Job Details

We’re seeking a Solutions Architect who thrives at the intersection of data engineering and AI / ML solutions. This is a customer-facing, technical leadership role where you’ll design, build, and deliver scalable cloud and data architectures for enterprise clients.

What You’ll Do :

What You Bring :

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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