Data Architect I - Data Engineer

Hiring Location

• Bangalore, Hyderabad, Chennai, Trivandrum, Kochi, Pune, Noida, Gurgaon

Experience Range

• 8–14 years of experience in Data Engineering, Analytics, and AI/ML roles

• Architect, design, and maintain scalable and resilient data pipelines and enterprise data models supporting analytics, AI, and business intelligence use cases.

• Design, build, and optimize ETL/ELT frameworks using Azure Data Factory (ADF) and cloud-native integration patterns.

• Develop and manage cloud data platforms using Snowflake for high-performance and cost-efficient analytics.

• Design and implement advanced AI/ML solutions, including deep learning, NLP, large language models (LLMs), and generative AI.

• Lead AI research, experimentation, and prototyping to solve complex business problems and drive automation.

• Build and operationalize end-to-end ML pipelines, covering data preparation, feature engineering, model deployment, and monitoring.

• Develop executive dashboards and analytical applications delivering actionable business insights.

• Implement CI/CD pipelines to automate data and AI workflows for reliability and faster releases.

• Collaborate with engineering, analytics, product, and business teams to ensure system integration and alignment with business goals.

• Define and enforce best practices for data engineering, AI, governance, quality, security, and observability.

• Stay current with emerging data, AI, and LLM technologies to drive innovation.

• Strong proficiency in Python for data engineering, analytics, and machine learning.

• Hands-on experience with Snowflake for cloud data warehousing and analytics.

• Experience designing and building data pipelines using Azure Data Factory (ADF) or equivalent ETL/ELT tools.

• Solid experience with AI/ML techniques, including deep learning, NLP, and LLMs / Generative AI.

• Proven experience delivering AI-driven and analytical solutions for real-world business problems.

• Strong understanding of enterprise data modeling, data quality, and scalable pipeline design.

• Experience implementing CI/CD pipelines for data and ML workflows using modern DevOps practices.

• Experience building dashboards using Tableau or Power BI.

• Experience working on cloud platforms (Azure preferred; AWS/GCP acceptable).

• Strong communication skills with the ability to translate technical concepts into business insights.

• Experience with MLOps practices, including model deployment, monitoring, and observability.

• Experience working with telecom network data (5G, LTE, VoLTE, SMS, data usage, roaming).

• Familiarity with vector databases, embeddings, and RAG (Retrieval-Augmented Generation) patterns.

• Experience integrating LLMs with enterprise data and applications.

• Experience working in Agile environments and large-scale enterprise systems.

If you want, I can also:

• Shorten this to a 1-page JD

• Create a client-facing or campus-hiring version

• Align it to Data Architect / AI Architect / Staff Engineer titles