phdata
Solutions Architect
At a Glance
- Location
- United States
- Work Regime
- remote
- Posted
- 2026-04-03T13:21:56-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
Benefits & Perks
lent benefits, 4 weeks PTO plan plus 10 Holidays (and ot
Requirements
: Experience using Python for task automation and operational efficiency.
: Hands-on experience with automated deployment frameworks, such as Flyway or Liquibase.
Compensation & Benefits
Remote-First Work Environment
Casual, award-winning small-business work environment
Collaborative culture that prizes autonomy, creativity, and transparency
Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)
Accelerated learning and professional development through advanced training and certifications
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
Responsibilities
Technical Leadership:
Lead the design, architecture, and implementation of large-scale data platform projects on Snowflake, AWS, and Azure.
Guide technical teams through data migration, integration, and performance optimization.
Platform Optimization, Integration and Automation:
Identify opportunities for automation and performance optimization to enhance client’s data platform capabilities.
Lead data migration to cloud platforms (e.g., Snowflake, Redshift), ensuring smooth integration of data lakes, data warehouses, and distributed systems.