Team Lead, Data Platform | Augury 500+ manufacturers on AI, downtime, and what’s getting in the way. Download the report Solutions Industrial AI Workforce Combines machine and operational data to give manufacturing teams the monitoring, intelligence, and AI agents they need to accelerate response time and keep production running. Learn more Machine Health Prevent machine failures and reduce maintenance costs with AI powered by reliability experts. Machine Health Machine Health Solutions Critical Equipment Hazardous Ultra-Low RPM Supporting Equipment Auguscope Use Cases By Industry By Business Goal By Persona By Asset By Industry Food & Beverage Consumer Packaged Goods Chemicals Building Materials & Cement Metals & Mining Pulp & Paper Glass Pharmaceutical Plastics Steel Forest Products Oil & Gas Energy Commercial Services Show more By Business Goal Eliminate Unnecessary Downtime Reduce Loss, Waste, and Emissions Maximize Yield and Capacity Optimize Asset Care Transform the Way You Work Show more By Persona Plant Manager IT Maintenance & Reliability VP Manufacturing & Engineering Digital Transformation Supply Chain Process Engineering & Operations Show more By Asset Rotating Equipment Pumps Motors Compressors Bearings Fans and Blowers Gearboxes Chillers Conveyor Extruders Mills Mixers Seamer Show more Why Augury Customers Our Customers Our Commitment Success Stories Spotlight Awards Show more Partners Resources Resource Center Blog Events & Webinars Podcasts Videos Collateral Value Calculator Show more Company About Careers Media Center Support Community In the News Press Releases Show more Pricing Contact us Search for: Log in Book a Demo All Jobs R&D Team Lead, Data Platform Our mission is to provide manufacturers and other industrial sectors with insights into the health of machines, processes, and operations to transform how people work and what they can create. A leader in Machine Health and Process Health solutions, Augury uses purpose-built AI technology, trained by industry experts and the world’s largest data library, to help companies realize the full potential of their production. Together with our customers, we are pioneering Production Health by removing friction created by competing business goals so companies can improve business outcomes, empower their workforce, and achieve sustainable production- all at the same time. Full-time About The Position Our Data Intelligence Hub (DIH) is building the next-generation Industrial Data Intelligence platform: a contextual layer that connects machine health, operational, maintenance, engineering, and enterprise data on top of a site Digital Twin backbone. This foundation powers agentic, AI-native experiences that help users explore their sites, answer complex questions, and make better decisions in one place. You will lead the Data Platform team within DIH, responsible for building robust, scalable data services and pipelines that power our products, digital twins, and AI agents. This is a hands-on engineering leadership role. You are first and foremost a strong software engineer with deep experience in data-intensive systems—not a traditional ETL/BI data engineer. You will build and lead a new Data Platform team in India, setting the technical bar for production-grade systems with strong standards for software design, reliability, scalability, and testing. A Day In Your Life Lead and grow a team of ~5 Software Engineers in India, providing technical direction, coaching, and hands-on contribution (~30–50%). Own the technical vision and roadmap for DIH’s data platform in India, in close partnership with DIH leadership in Israel. Design and evolve scalable, data-centric backend services and pipelines that support Digital Twin and AI/agentic use cases. Set a high engineering bar for
the team: clean code, testing, observability, and strong ownership culture. Technical Leadership & Architecture Own the architecture and long-term evolution of DIH data services and pipelines built in India. Define and enforce data modeling standards (raw / modeled / aggregate layers, e.g., Bronze/Silver/Gold) across DIH systems. Make key architectural decisions across storage, lakehouse, and streaming systems (e.g., Databricks, Kafka), including trade-offs in cost, latency, and correctness. Lead design reviews and guide engineers through complex distributed systems and data pipeline decisions. Production Data Systems Build end-to-end data pipelines from raw industrial events to validated, modeled, and aggregated datasets powering products and AI agents. Ensure pipelines are incremental, idempotent, and resilient to duplicates, late events, and schema changes. Design time-based aggregations and event-time correctness (watermarks, backfills, reprocessing). Model key industrial relationships (machines, sensors, factories, work orders, tenants) to support analytics and AI/graph-style queries. Ensure systems are observable and reliable in production (metrics, logging, tracing, data quality checks). Streaming, Scale & Reliability Build systems that scale to high-volume industrial data workloads (hundreds of TB, millions of events/hour). Design streaming and event-driven systems with proper consumer patterns (idempotency, replay, lag monitoring). Make pragmatic trade-offs across partitioning, MERGE vs append-only, backfills, and cost vs performance. Ensure multi-tenant isolation and correctness across schemas, keys, and access patterns. AI-Native & Cross-Functional Collaboration Partner with DIH and AI/ML teams to make data models and pipelines agent-ready (structured schemas, deterministic outputs, tool-friendly queries). Help design data interfaces and tools used by AI agents to answer complex industrial questions with traceability and correctness. Collaborate with Product and Engineering to translate
requirements into scalable data architectures. Represent the India team in cross-functional and cross-region forums. Team Leadership & Culture Hire, onboard, and develop strong data engineers in India. Coach engineers on system design, data modeling, testing, and production ownership. Build a culture of accountability, engineering excellence, and continuous improvement. Drive effective distributed collaboration across India and Israel teams. What You Bring 8+ years software engineering experience building backend or data-intensive systems in production environments. 3+ years in a Tech Lead / Team Lead role, including design ownership and technical mentorship. Strong Python engineering skills with production-grade system design experience. Deep SQL and data modeling expertise, including schema design, aggregations, and event-time systems. Experience building incremental, idempotent pipelines handling duplicates, late data, and backfills. Experience with cloud platforms and modern data stack (e.g., AWS/GCP/Azure, Databricks, Spark, Kafka, BigQuery, etc.). Strong experience operating production systems and debugging data issues (missing data, incorrect aggregates, performance issues). Strong communication skills working with distributed international teams.
Nice to Have Industrial / IoT / digital twin experience. Knowledge graph or complex relational modeling experience. Experience with AI/LLM systems (RAG, agents, tool use). Experience building new teams or engineering charters in India or globally. Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees. Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law. Apply for this position Solutions Industrial AI Why Augury Our Commitment Success Stories Machine Health Asset Condition Monitoring Company About Partners Careers Support Trust Center Contact Us Learn With Augury Events & Webinars Media Center Blog In the News Press Releases Gartner and Peer Insights are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. Privacy Policy Terms of Use Do Not Sell Or Share My Personal Information 2026 Augury Ltd. All rights reserved. X LinkedIn Facebook Customer Login Modal Machine Health Prescriptive AI machine diagnostics to predict and prevent industrial machine failure and improve machine performance. Login Process Health Prescriptive AI process optimization to achieve new levels of production efficiency, yield, and sustainability (previously known as Seebo). Login Ask Me Anything Webinar Your PdM program questions, answered live. Join a 45-minute AMA on what it really takes to build, sustain, and advance a predictive maintenance program with the people who do it every day. Save your seat
