
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 September 14
đ Latin America â Remote
â° Full Time
đ Senior
đŽ Lead
đ» Solutions Engineer
đ» Ghost score 16%
Where this job comes from
Posted on phData's careers page, not through a job board
First seen by Remote Rocketship September 14
Still open on phData's site. Checked 5 hours ago.

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 Design and lead end-to-end Applied AI architectures across predictive ML, MLOps, generative AI, RAG, and agentic workflows âą Translate ambiguous business problems into use cases, technical requirements, solution options, and implementation plans âą Guide delivery teams through discovery, prototyping, implementation, deployment, and productionization âą Ensure solutions meet standards for reliability, scalability, security, and governance âą Partner with client stakeholders, senior architects, and sales teams on discovery and architecture workshops, roadmaps, proposals, statements of work, and technical demonstrations âą Document architecture decisions, patterns, reference designs, and lessons learned for reuse across clients
âą 8+ years of experience designing, building, or delivering Data, Analytics, Cloud, Software, Machine Learning, or AI solutions, including at least 5 years leading AI, ML, MLOps, or data-intensive solutions in production âą Strong understanding of Applied AI and modern ML systems, including predictive ML, MLOps, generative AI, LLM applications, RAG, semantic retrieval, and agentic architectures âą Proven experience architecting and operationalizing production AI/ML systems, including model deployment, inference, monitoring, evaluation, retraining, and governance âą Hands-on experience with Snowflake, Databricks, at least one major cloud provider (AWS, Azure, or Google Cloud), dbt, and modern AI platforms such as Anthropic or OpenAI âą Proficiency in Python and strong working knowledge of SQL âą Ability to evaluate technology choices and tradeoffs, integrate AI solutions with enterprise data platforms and applications, and apply CI/CD and productionization practices for AI/ML systems âą Bachelor's degree in relevant field, or equivalent practical experience âą Preferred qualifications include advanced agentic AI systems, enterprise-scale RAG, advanced MLOps, reusable accelerators, multi-client solutions, enterprise industry experience, and technical community or open-source contributions
âą Remote-First Work Environment âą Casual, award-winning small-business work environment âą Collaborative culture that prizes autonomy, creativity, and transparency âą Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks) âą Accelerated learning and professional development through advanced training and certifications âą Impactful work with leading organizations on meaningful data & AI initiatives âą Challenging projects, mentorship, and structured development pathways
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đ Latin America â Remote
đ° Private equity on 2023-11
â° Full Time
đ Senior
đŽ Lead
đ» Solutions Engineer