Head of Engineering (India)

Head of Engineering (India)

10 Sep
|
Ironbook AI
|
India

10 Sep

Ironbook AI

India

About the Role
We are seeking a highly technical, strategic, and hands-on Head of Engineering to lead, scale, and drive engineering excellence across Ironbook's technology organization. The ideal candidate must possess deep architectural and engineering depth, with a proven track record of guiding complex technical transformations, rather than having a purely business-focused background.
In this role, you will be the ultimate engineering authority, overseeing our high-growth development teams and guiding the modernization of enterprise systems. A significant focus of this role will be directing complex, large-scale data migrations and platform modernizations, as well as integrating cutting-edge technologies like Generative AI, Large Language Models (LLMs), and cloud-native contact center platforms (e.g., Amazon Connect).

Key Responsibilities
1. Engineering Leadership & Governance (30%)
Scale & Mentor Teams: Lead, recruit, and mentor a high-performing global engineering team across data engineering, cloud-native solutions, and AI practices.
Technical Excellence:



Instill a culture of architectural rigor, robust code quality, and engineering best practices.
Strategic Vision: Align the technology roadmap with overall business objectives and delivery schedules, serving as a trusted technical advisor to internal leadership and enterprise clients.
2. Data Modernization & Migrations (30%)
Data Platform Migration: Lead complex, enterprise-scale migrations from legacy environments (such as IBM DataStage or legacy SQL databases) to up-to-date cloud data platforms (including Azure Databricks, ADF, and Snowflake), ensuring zero downtime and highly optimized pipeline structures.
Lakehouse Architecture: Architect and govern scalable enterprise data structures, leveraging Medallion architectures (Bronze, Silver, Gold), Delta Live Tables (DLT), and metadata-driven ETL pipelines.
Engineering Depth: Troubleshoot and perform root cause analysis (RCA) on complex data pipelines, setting the

📌 Head of Engineering (India)
🏢 Ironbook AI
📍 India

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