Jobs at phData

Design, build, and operationalize production-grade agentic AI solutions (RAG, multi-agent workflows, human-in-the-loop). Deliver client engagements, create reusable accelerators, ensure reliability/security/observability, and drive technical standards, documentation, testing, and measurable business outcomes across distributed teams.

Lead design and delivery of cloud-native enterprise data platforms (warehouses, lakes, streaming). Architect solutions on AWS/Azure, guide and mentor engineering teams, create epics/stories, optimize performance/security, automate operations, and present technical recommendations to customers and executives.

The Solutions Architect will design and implement data solutions while mentoring engineers, ensuring performance and security, and communicating effectively with clients.

Lead the design and implementation of cloud-native data platforms, manage complex projects, optimize performance, and provide strategic consulting to customers.

Lead the architecture and implementation of machine learning solutions, ensuring scalable and secure environments for data teams while collaborating with clients and various stakeholders.

Lead AI and data strategy engagements, managing delivery, stakeholder relationships, and ensuring alignment with business goals. Mentor teams and contribute to practice development.

As an AI Automation Engineer, you will partner with business groups to assess challenges and deliver AI-driven automation solutions while ensuring code quality and collaborating with cross-functional teams.

The Senior AI Automation Engineer will collaborate with business teams to identify and implement AI and automation solutions, design applications, and optimize processes, contributing to operational efficiency.

The role involves building AI-native applications and agents in a customer-embedded setting, focusing on rapid prototyping, full-stack engineering, and aligning solutions with business outcomes. It requires strong technical and communication skills for engaging with stakeholders to identify AI use cases and deliver measurable ROI.

Lead architecture, design, and delivery of modern cloud data platforms and analytics solutions. Translate business requirements into secure, scalable data pipelines, guide implementation teams, support pre-sales, and contribute to practice IP, standards, and mentoring across distributed, client-facing engagements.

Lead architecture and hands-on delivery of production agentic AI solutions: design reusable accelerators, integrate LLMs and retrieval (RAG), ensure reliability, security, observability, and guardrails, collaborate with cross-functional teams, mentor engineers, and contribute IP, patterns, and production best practices across clients.

Design and deliver end-to-end cloud data and AI solutions, lead and mentor engineering teams, ensure performance, security, scalability, and robust data integration. Build POCs, solution documentation, technical presentations, and system diagrams while working with Snowflake and major cloud/data platforms.

Lead design and delivery of end-to-end data engineering solutions for enterprise clients. Architect cloud data platforms (Snowflake, AWS, Azure, Databricks, GCP), build and optimize SQL and transformation pipelines (dbt), mentor and manage solution architects and data engineers, produce technical documentation and presentations, and ensure production performance, security, scalability, and successful client engagement.

Own technical delivery and reliability of cloud-native data platform environments (AWS/Azure) for managed services clients. Build and maintain IaC and CI/CD pipelines, monitor and troubleshoot ETL/ELT jobs, provide technical leadership, mentor junior engineers, and contribute reusable templates, runbooks, and operational playbooks to standardize platform delivery.

Own territory growth in the Northeast by sourcing, co-selling with partner ecosystems, and closing enterprise data & AI services deals. Manage pipeline and forecasts, partner cross-functionally to scope and present solutions, ensure customer success, and exceed targets across Data Engineering, Managed Services, Machine Learning, and Analytics.

Lead a large strategic Retail/CPG/Hospitality account, owning account strategy, growth, executive relationships, and delivery of data platforms, pipelines, governance, analytics, and AI solutions. Collaborate with Sales, Delivery, and partner ecosystems to ensure on-time, on-scope engagements and measurable business value.

Lead complex data and AI programs, ensuring successful delivery and client outcomes while managing budgets, timelines, and stakeholder relationships across multi-geo teams.

The Senior Program Manager will oversee complex projects impacting multiple stakeholders and customers, manage their delivery processes, assess risks, and communicate progress and needs effectively.

The Senior Program Manager leads high visibility data and AI projects, manages customer relationships, and drives the growth of strategic accounts. Responsibilities include overseeing multiple customers, nurturing team leaders, ensuring project delivery, and connecting business objectives with measurable outcomes.

The Machine Learning Solutions Architect designs and implements data solutions, overseeing model deployment and ensuring robust performance and integration within customer environments.