Job Description
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 We are looking for a Sr. Machine Learning Architect to join our Machine Learning team. In this role, you will lead the architecture and implementation of production-grade machine learning and data solutions that enable customers to realize tangible business value from their data. You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams, and practice leadership to deliver high-quality solutions and advance phData’s delivery excellence. Key Responsibilities Client Delivery Own and drive end-to-end architecture, solution design, and delivery of machine learning and data solutions for enterprise clients across diverse industries. Translate business and data science requirements into scalable technical and MLOps solutions that align with phData methodologies, standards, and best practices. Ensure engagements are delivered on time, within scope, and with measurable business value for clients. Design and create secure, scalable environments and tooling for data scientists to build, train, and manipulate models and data. Work within customer technology ecosystems to extract data from a variety of source systems and place it within analytical and model-training environments. Define deployment approaches and production infrastructure for machine learning models, ensuring that businesses can reliably use, monitor, and maintain the models we develop. Demonstrate and reveal the business value of data by partnering with data scientists to manipulate and transform data into actionable insights and deployable machine learning models. Create and execute operational testing strategies, including QA validation, performance testing, and implementation plans, to support model testing and deployment. Ensure the quality, reliability, and observability of delivered solutions through testing, documentation, logging, and monitoring. Collaboration & Leadership Collaborate with cross-functional partners, including data science, data engineering, platform/DevOps, and business stakeholders, to deliver successful client engagements. Provide technical and strategic leadership during workshops, discovery sessions, architecture and design reviews, and project delivery. Ensure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to security and compliance standards. Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating ML solutions. Serve as a technical thought leader for clients, recommending technologies and solution designs for model inference, retraining, monitoring, and lifecycle management from the application layer down to infrastructure. Practice & Firm Contribution Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to machine learning engineering and MLOps. Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders. Additional Responsibilities Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives. Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement. Help define and refine practice standards, reusable assets, and delivery frameworks. About You You are a technical leader and client-focused consultant who enjoys turning complex machine learning ideas into robust, production-ready solutions. You are comfortable working across data, infrastructure, and application layers, partnering directly with data scientists, engineers, and business stakeholders. You thrive in an outcomes-driven environment, navigating complex customer ecosystems to design architectures that are performant, secure, scalable, and maintainable. Required Qualifications Ex
