Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together.
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.
Skills Required
- 8+ years software engineering experience building backend or data-intensive systems in production
- 3+ years in a Tech Lead / Team Lead role with 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 (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
- Experience hiring, onboarding, and developing engineering teams
- 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
What the Team is Saying
Augury Compensation & Benefits Highlights
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Leave & Time Off Breadth — Time-off policies include flexible or unlimited PTO alongside paid holidays, sick time, volunteer time, and periodic company‑wide shutdowns; some roles also reference flexible schedules such as rotating four‑day weeks. This breadth supports meaningful rest and flexibility across the year.
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Healthcare Strength — Offerings include comprehensive medical, dental, vision, and mental‑health coverage, plus life and disability insurance. This scope addresses core healthcare needs for employees and dependents.
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Equity Value & Accessibility — Equity grants and stock options are included as part of the rewards mix for many roles. This enables employees to participate in company upside in addition to cash compensation.
Augury Insights
What We Do
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 pioneer in Machine Health and Process Health solutions, we use purpose-built AI, trained by industry experts and the world’s largest data library, to help customers eliminate production downtime, improve process efficiency, maximize yield, and reduce waste and emissions.
Why Work With Us
We believe the best perk is who you work with, professionally and personally. Our team is a diverse group of people that breed creative thinking and want to solve big challenges together. Each person understands the impact of their role on our customers and Augury's success.
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Augury Offices
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Employees work remotely.
