Principal Solutions Architect - (Data Engineering)

Build scalable enterprise data platforms for Fortune-level clients across AWS and Snowflake

This Jobot Job is hosted by: Robert Donohue
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Salary: $180,000 - $205,000 per year

A bit about us:

We are a leading modern data consultancy helping enterprise organizations solve complex data engineering, cloud, analytics, and AI challenges. Our teams partner with major cloud platforms and technologies including Snowflake, AWS, Azure, Databricks, dbt, Kafka, Fivetran, and more to deliver enterprise-scale solutions for some of the world's largest organizations.

Our company operates in a remote-first environment across the United States, Latin America, and India. We are growing rapidly and continue to invest heavily in cloud engineering, data modernization, AI innovation, and enterprise analytics solutions.

Why join us?

• Competitive compensation: $170K-$225K base salary + bonus
• Remote-first environment with occasional customer-site travel
• Work with cutting-edge cloud technologies including AWS, Snowflake, PySpark, Databricks, Kafka, and Airflow
• Opportunity to own strategic customer relationships and enterprise architecture initiatives
• Fast-growing organization with strong career growth opportunities
• Award-winning culture focused on collaboration, autonomy, innovation, and professional development
• 4 weeks PTO, strong healthcare benefits, 401(k), certifications, and training opportunities

Job Details

We are seeking a Principal Solutions Architect with a strong hands-on background in Data Engineering, Cloud Architecture, and enterprise-scale modern data platforms. This role combines deep technical architecture responsibilities with customer-facing consulting, solution design, and strategic account leadership.
The ideal candidate will have strong expertise in AWS, PySpark, and Snowflake while also being comfortable operating as a trusted advisor for enterprise clients.

What You'll Do:
Technical Leadership

• Architect and design enterprise cloud-native data platforms and engineering solutions
• Lead solution design, discovery sessions, assessments, and technical roadmaps
• Design scalable, secure, and high-performing data solutions leveraging AWS, Snowflake, and PySpark
• Guide implementation teams through complex data engineering initiatives
• Mentor engineers and architects across multiple customer engagements
• Lead technical discussions around streaming, orchestration, lakehouse, migration, and analytics architectures

Client Engagement & Strategic Consulting

• Build strong executive and stakeholder relationships across enterprise accounts
• Identify opportunities to expand services and deepen strategic partnerships
• Lead technical presentations, architecture reviews, RFP responses, and solution proposals
• Translate complex business requirements into scalable technical solutions
• Act as a trusted technical advisor for enterprise customers

What You Bring:

• 8+ years of experience in Solutions Architecture, Data Engineering, or client-facing cloud architecture roles
• Strong hands-on expertise with:

o AWS
o PySpark
o Snowflake

• Strong experience designing enterprise cloud-native data platforms
• Advanced SQL, data modeling, and data engineering experience
• Experience with cloud-native technologies such as Kafka, Airflow, Databricks, dbt, Fivetran, or Matillion preferred
• Strong client-facing communication and consulting experience
• Experience leading technical teams and mentoring engineers
• Strong Python development experience preferred
• Bachelor's degree in Computer Science or related field preferred

Important Requirement

• Candidates must be authorized to work in the United States without sponsorship now or in the future
• Unable to provide visa sponsorship or C2C arrangements for this opportunity

Preferred Background:

• Experience within consulting, professional services, or customer-facing technical environments
• Experience supporting enterprise-scale cloud migrations and modernization initiatives
• Snowflake or AWS certifications strongly preferred
• Experience with streaming, lakehouse, medallion architecture, or AI/ML data platforms preferred

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

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