Principal Engineer, Data & ML Platform

Posted Yesterday
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Scottsdale, AZ, USA
In-Office
Senior level
Software • Consulting
The Role
Lead the design and development of data platform systems for AI and ML products, focusing on scalable infrastructure and technical direction.
Summary Generated by Built In

We are seeking an experienced Principal / Senior Software Engineer, Data & ML Platform to lead the design and development of the foundational data and platform systems that power our AI and machine learning products.

This is a hands-on technical leadership role responsible for architecting scalable, cloud-native infrastructure that enables real-time and batch data services for training, inference, and feedback loops. You will help define the technical direction of our data and ML platform while partnering closely with AI Platform, MLOps, and backend engineering teams.

Key Responsibilities
  • Architect and build the core data and software systems that support our AI and ML platforms.
  • Design and develop scalable data pipelines, APIs, and platform services for ML and AI use cases.
  • Build real-time and batch data frameworks to support model training, inference, and continuous feedback loops.
  • Drive platform scalability, reliability, and engineering excellence across distributed systems.
  • Partner with cross-functional engineering leaders to shape long-term platform strategy and technical direction.
  • Mentor engineers and establish best practices for system design, testing, deployment, and performance optimization.
  • Evaluate and implement technologies that improve platform capability, reliability, and developer efficiency.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred.
  • 7+ years of experience in software engineering, data infrastructure, ML platform, or related engineering roles.
  • Strong expertise in Python, Java, and/or PySpark.
  • Proven experience designing and scaling cloud-native data and ML systems, preferably in GCP and Databricks.
  • Deep understanding of distributed systems, system design, data modeling, and platform architecture.
  • Strong experience building and operating large-scale, data-intensive systems.
  • Excellent technical leadership, communication, debugging, and problem-solving
  • Experience with automated testing, deployment best practices, and production-grade software development.

Top Skills

Databricks
GCP
Java
Pyspark
Python
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The Company
Chennai
7,456 Employees
Year Founded: 1980

What We Do

Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology

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