Solutions Architect

🕒 July 28

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 57%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $2.5M Seed Round on 2018-03

Consulting • Healthcare • Manufacturing

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• Partner directly with clients to understand business objectives • Lead discovery sessions to uncover business goals, technical requirements, and solution constraints • Translate complex client challenges into scalable, production-ready Data & AI architectures • Serve as the primary technical advisor throughout client engagements • Recommend architecture, tooling, implementation approaches, and technical trade-offs • Develop architecture diagrams, design documentation, implementation plans, and technical standards • Lead delivery of enterprise Data & AI solutions from architecture through production deployment • Guide engineering teams through implementation and remove delivery blockers • Leverage AI throughout the software delivery lifecycle to improve design, productivity, documentation, testing, troubleshooting, and client outcomes • Guide clients on practical AI adoption • Mentor engineers through architectural guidance, technical coaching, and design reviews • Contribute to hiring, onboarding, and technical enablement

🎯 Requirements

• 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles • Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments • Demonstrated experience delivering with AI and leveraging modern AI technologies throughout the software delivery lifecycle • Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements • Hands-on experience with many of: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform • Hands-on experience with data engineering technologies such as 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 using technologies such as Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development 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

• 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 • Challenging projects, mentorship, and structured development pathways • Supportive, high-performing global team • Transparency, autonomy, and continuous improvement