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phData

Principal Solutions Architect

phData

. Lead strategic discovery across client accounts to uncover business priorities, technical challenges, and opportunities .

Posted 9/17/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in Solutions Architecture and Data Engineering, with a strong focus on delivering enterprise Data & AI solutions in cloud environments. Proven ability to lead technical strategy, mentor teams, and drive account growth through effective client engagement and solution design.

Highest-signal resume keywords
Solutions ArchitectureData EngineeringEnterprise Data & AI SolutionsCloud PlatformsTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLJavaScalaSparkKafkaAirflowDbtFivetranMatillion
Soft Skills
ConsultingClient EngagementMentoringTechnical CoachingRelationship Building
Tools & Technologies
SnowflakeDatabricksGoogle BigQueryAWSMicrosoft AzureGoogle Cloud PlatformCI/CDInfrastructure as CodeObservabilityMonitoring
Certifications & Qualifications
Snowflake CertificationAWS CertificationAzure CertificationGCP CertificationDatabricks Certification
Industry Keywords
AI SolutionsTechnical DiscoverySolution ArchitectureAccount GrowthProposalsSOWs

Tech Stack

Tools & technologies
AirflowAWSAzureBigQueryCloudGoogle Cloud PlatformJavaKafkaMatillionOpen SourcePythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Lead strategic discovery across client accounts to uncover business priorities, technical challenges, and opportunities
  • Translate client priorities into scalable Data & AI architectures, roadmaps, and expanded engagement opportunities
  • Serve as a senior technical advisor and trusted partner to client executives and technical leaders
  • Shape account strategy, strengthen relationships, and identify opportunities for additional client value
  • Recommend architecture, tooling, implementation approaches, and technical trade-offs
  • Shape solution strategy, scope new opportunities, contribute to proposals and SOWs, and partner with account and sales leaders
  • Lead and oversee delivery of enterprise Data & AI solutions across strategic accounts
  • Ensure architectural quality and client outcomes while guiding engineering teams
  • Identify technical and account risks and create paths from successful delivery to account growth
  • Leverage AI across software delivery to improve solution design, productivity, documentation, testing, troubleshooting, and client outcomes
  • Help clients identify and prioritize practical AI opportunities
  • Mentor architects and engineers through technical coaching, design reviews, hiring, onboarding, and technical enablement
  • Raise the technical and consulting capabilities of the broader organization

Requirements

What you’ll need
  • 10+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles
  • Experience operating as a senior technical leader across complex enterprise client accounts
  • Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments
  • Experience owning technical strategy and outcomes across multiple projects, workstreams, or client initiatives
  • Demonstrated experience delivering with AI throughout the software delivery lifecycle
  • Strong consulting experience leading technical discovery, solution architecture, executive client engagements, and account growth
  • Experience identifying opportunities, shaping solutions, contributing to proposals and SOWs, and helping generate revenue
  • Hands-on experience with cloud and data platforms including Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, and Google Cloud Platform
  • Hands-on experience with data engineering technologies including Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies
  • Experience with CI/CD, Infrastructure as Code, observability, and monitoring
  • Experience incorporating AI into engineering and solution delivery using Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar platforms and frameworks
  • Industry certifications across Snowflake, AWS, Azure, GCP, Anthropic, and/or Databricks are preferred
  • Contributions to technical communities through speaking, writing, open source, or internal enablement are preferred

Benefits

Comp & perks
  • Remote-First Work Environment
  • 401k plan with company match
  • Dental and Vision insurance
  • Home Office Equipment Stipend
  • Annual stipend for Learning and Development
  • Competitive comp
  • Excellent benefits
  • 4 weeks PTO plan
  • 10 Holidays
  • Access to challenging projects, mentorship, and structured development pathways
  • Supportive, high-performing global team
  • Transparency, autonomy, and continuous improvement
  • Meaningful data & AI initiatives
  • Equal opportunity and inclusive work environment