Solutions Architect - (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 - $170,000 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, Google Cloud Platform, 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, Google Cloud Platform, 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 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:

• Design and implement end-to-end data solutions that are secure, performant, and scalable
• Collaborate with enterprise customers to understand their challenges and translate business needs into technical roadmaps
• Lead architecture discussions, conduct POCs, create roadmaps, diagrams, and solution documentation
• Work hands-on with modern data stack tools like Snowflake, Databricks, AWS, Azure, Google Cloud Platform, and streaming/integration tech (Kafka, Fivetran, dbt, Airflow)
• Support product adoption and services expansion by building trust with customer teams and executives
• Guide and mentor engineers, helping elevate their technical expertise
• Deliver presentations and demos that clearly communicate solutions to both technical and non-technical audiences
  
  

What You Bring:

• 8 years as a Solutions Architect/Data Engineer designing and implementing production-grade solutions
• 5 years customer-facing experience with enterprise clients
• Strong proficiency in Python, Java, or Scala and advanced SQL skills
• Hands-on experience with Snowflake, Databricks, Redshift, or EMR and distributed/cloud data platforms (AWS, Azure, Google Cloud Platform)
• Familiarity with streaming tools (Kafka, Spark), orchestration (Airflow), and data integration technologies (Fivetran, Matillion, ADF)
• Excellent communication skills for collaborating with clients and presenting solutions
• Bachelor's degree in Computer Science or related field (or equivalent experience)
  
  

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

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