
201 - 500 employees
Founded 2014
đŒ Consulting
đ„ Healthcare
đ Manufacturing
đ° $2.5M Seed Round on 2018-03
Consulting âą Healthcare âą 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.
đ August 5
đ Latin America â Remote
â° Full Time
đ Senior
đŽ Lead
đ» Solutions Engineer
đ» Ghost score 12%
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201 - 500 employees
Founded 2014
đŒ Consulting
đ„ Healthcare
đ Manufacturing
đ° $2.5M Seed Round on 2018-03
Consulting âą Healthcare âą 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.
âą Lead discovery sessions to uncover business goals, technical requirements, and solution constraints âą Translate complex client challenges into scalable, production-ready Data & AI architectures âą Serve as the primary technical advisor throughout client engagements âą Recommend architecture, tooling, implementation approaches, and technical trade-offs âą Develop architecture diagrams, design documentation, implementation plans, and technical standards âą Lead enterprise Data & AI solution delivery from architecture through production deployment âą Guide engineering teams through implementation, identify technical risks, and remove delivery blockers âą Leverage AI throughout the software delivery lifecycle to improve design, productivity, documentation, testing, troubleshooting, and client outcomes âą Guide clients on practical AI adoption âą Mentor engineers through architectural guidance, technical coaching, and design reviews âą Contribute to hiring, onboarding, and technical enablement
âą 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles âą Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments âą Demonstrated experience delivering with AI and leveraging modern AI technologies throughout the software delivery lifecycle âą Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements âą Hands-on experience with cloud and data platforms such as Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, and Google Cloud Platform âą Hands-on experience with data engineering technologies including Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar âą Experience with CI/CD, Infrastructure as Code, observability, and monitoring âą Experience incorporating AI into engineering and solution delivery using enterprise AI platforms and frameworks such as Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, or LangGraph âą Client-facing technical leadership and consulting capability âą Ability to operate in distributed, global teams across time zones âą Preferred but not required: industry certifications across Snowflake, AWS, Azure, GCP, Anthropic, and/or Databricks âą Preferred but not required: contributions to technical communities through speaking, writing, open source, or internal enablement
âą Snowflake Implementation Partner of the Year recognition and access to work with leading technology partners âą Impactful work on meaningful data & AI initiatives âą Supportive, high-performing global team âą Autonomy, transparency, and continuous improvement culture âą Challenging projects, mentorship, and structured development pathways âą Competitive compensation âą Excellent benefits âą Generous PTO plan âą 10 holidays âą Other perks âą Accelerated learning and professional development through advanced training and certifications âą Remote-first work environment âą Casual, award-winning small-business work environment
Apply Nowđ August 5
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