Machine Learning Solutions Architect

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. 

phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

• 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
• Fivetran, dbt, Atlation, and AWS Partner of the Year
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)

Recognized as an award-winning workplace in the US, India, and LATAM

Machine Learning Solutions Architect - US

Machine Learning Engineers are the Swiss army knives of machine learning. They’re ready for anything, and they bring all the tools to ensure that data science models see the light of day. They own the infrastructure and deployment plan—from making sure data science models can actually be built using customer data to deploying them into a production environment, and everything in between.  They provide thought leadership by recommending the right technologies and solutions for a given use case, from the application layer to infrastructure.  Machine Learning Engineers have the team leadership and coding skills (e.g. Python, Java, and Scala) to get their solutions into production — and to help ensure performance, security, scalability, and robust data integration.

As a Solutions Architect on our Machine Learning Engineering team, you are responsible for:

• Designing and implementing data solutions best suited to deliver on our customer needs — from model inference, retraining, monitoring, and beyond — across an evolving technical stack.
• Providing thought leadership by recommending the technologies and solution design for a given use case, from the application layer to infrastructure; and they have the team leadership and coding skills (e.g. Python, Java, and Scala) to build and operate in production; and to help ensure performance, security, scalability, and robust data integration.

What you’ll do in this role:

• Design and create environments for data scientists to build models and manipulate data
• Work within customer systems to extract data and place it within an analytical environment
• Learn and understand customer technology environments and systems
• Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
• Demonstrate the business value of data by working with data scientists to manipulate and transform data into actionable insights
• Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models
• Partner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle
• Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
• Ensure the quality of the delivered product

This job might be for you if you bring...

• At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer