Skip to main content
phData

Principal Solution Architect

RemoteUnited States only· UTC-6…UTC-4
Published
Role
Data Engineering
Experience
Principal
Employment
Full-time
Salary not disclosed
Check eligibility

Open to US only · UTC-6…UTC-4. Set where you work from to check your eligibility.

Core skills

SnowflakeAWS/Azure

Required skills

DatabricksS3/ADLS/CassandraSparkKafkaMatillion/Fivetran/HVR/AWS Data Migration Services/Azure Data FactoryAirflow/AWS Managed Airflow/LuigiSQLTerraform/CloudFormationPythonBitbucket/GitHub/Flyway/LiquibaseCursor/GitHub Copilot/Claude/ChatGPT

What you'll do

  • Own and drive the design, provisioning, and enhancement of cloud-native data solutions on AWS and/or Azure, leveraging deep expertise in Snowflake and related data services for enterprise-scale platforms.
  • Lead the operation and management of modern data platforms—from streaming and data lakes to analytics—across a progressively evolving technical stack for multiple concurrent customer accounts.
  • Translate business and technical requirements into Epics, Stories, and Tasks that mature and improve customers’ data platforms, ensuring timely and successful delivery of these initiatives.
  • Provide architectural and operational guidance for cloud-native data warehouses (e.g. Snowflake, Redshift) and distributed storage technologies (e.g. S3, ADLS, NoSQL) to support large user bases.
  • Serve as the technical leader across multiple accounts, providing clear ownership, direction, and decision-making while navigating complex customer environments.

What they require

  • 15+ years of experience architecting, operating, and optimizing modern cloud-based data platforms and data warehouses in enterprise environments.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Experience delivering projects and managed services for external or internal clients in a professional services, consulting, or complex enterprise environment.
  • Ability to break down complex, multifaceted data challenges into structured, actionable steps and drive them through to completion.
  • Proven experience as a technical team lead and mentor, providing direction, coaching, and quality oversight for engineers.

Benefits

  • Remote-First Work Environment
  • 401k plan with company match
  • Medical, Dental and Vision insurance
  • Home Office Equipment Stipend
  • Annual stipend for Learning and Development

Data and AI Consultancy

NullMid-size
Salary not disclosed