Principal Solutions Architect Data Engineering
Listed on 2026-06-03
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IT/Tech
Cloud Computing, Data Engineer
Overview
We are seeking a 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.
WhatYou’ll Do
- 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 Py Spark
- 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
- 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
- 8+ years of experience in Solutions Architecture, Data Engineering, or client-facing cloud architecture roles
- Strong hands-on expertise with AWS
- Strong hands-on expertise with Py Spark
- Strong hands-on expertise with 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
- 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
- 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
- Experience with in 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
- 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
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity, and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
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