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# Solutions Architect - (Data Engineering)

- **Company:** LEOFORCE, LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $205,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Cloud Engineering, Information Engineering, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Data Streaming, Sql Optimization, Snowflake, Containerization, Pyspark, Information Technology, Apache Kafka, Data Management, Cloud Migration, Databricks
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=04bd3aa4bf779d6f

## About the Role

* 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

## Description

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.

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


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