phdata

Solutions Architect

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At a Glance

Location
United States
Work Regime
remote
Posted
2026-04-03T13:21:56-04:00

Key Requirements

Required Skills

CI/CDPythonSnowflake

Domain Knowledge

  • Automation
  • Engineering

Benefits & Perks

Time Off

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.