Location - Noida, Bengaluru, Chennai, Hyderabad & Pune

Role

We are seeking a Data Platform Architect with an AI-first mindset to design and lead the implementation of a contemporary, enterprise-grade data architecture. You will be responsible for building the technical infrastructure—spanning data lakes, feature stores, and real-time pipelines—that enables our data scientists and AI engineers to move from experimentation to high-impact production environments.

Responsibilities
- Architectural Blueprinting: Design scalable and secure data platform blueprints (e.g., Lakehouse, Data Mesh, or Data Fabric) that support diverse AI workloads, including generative AI and classical machine learning.
- Building scalable, cloud-native storage and processing frameworks (data lakes, lakehouses) capable of handling massive datasets for model training.
- AI Data Infrastructure Design: Develop specific architectures for AI-driven workflows, including feature stores, real-time data streaming (Kafka/Spark), and automated machine learning pipelines.
- Data Lifecycle Management:



Oversee the end-to-end data lifecycle, from high-fidelity data acquisition and cleaning to preprocessing and model serving.
- Data Pipeline Automation: Creating end-to-end automated pipelines for data ingestion, cleaning, and feature engineering to reduce the time from data raw state to ML model input.
- Architecting systems that support streaming data (e.g., Kafka, Kinesis) for low-latency inference in applications like IoT, fraud detection, and customer experience.
- Implementing strict governance, including metadata management, data lineage (tracking data origin), and quality monitoring to ensure "clean" data, preventing model failure.
- Governance & Ethics: Establish unified data governance frameworks that ensure security, privacy (GDPR/CCPA), and compliance while mitigating algorithmic bias.
- Stakeholder Collaboration: Act as the technical bridge between business leadership, data science teams, and IT infras

📌 AI Data Platform Engineer (Noida)
🏢 HCLTech
📍 Noida