Technical Architect – Data Engineering & Analytics (Azure)

Winwire Technologies; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Winwire Technologies in Bengaluru/Hyderabad seeks a seasoned Technical Architect specializing in data engineering and analytics on Azure. You will shape enterprise data platforms, contribute to design, coding, and governance, and leverage AI tools to accelerate delivery with quality.

You'll lead data pipelines, build scalable lakes, and guide offshore teams while balancing speed, cost, and performance. Strong Azure expertise and hands-on coding are essential for this leadership role.

Qualifications

• 12+ years of experience in Data Engineering / Analytics with architecture exposure.
• Deep expertise in the Azure data ecosystem and cloud data platforms.
• Strong hands-on engineering and coding skills across data tooling.
• Experience leading offshore teams and managing stakeholders.
• Proven ability to drive AI-assisted productivity and quality.

Responsibilities

• Architect and deliver scalable data platforms on Azure.
• Design modern data architectures (lakehouse, medallion, batch + streaming).
• Define reusable frameworks, standards, and best practices.
• Design and implement high-performance data pipelines using ADF and Databricks.
• Build and optimize data lakes using ADLS Gen2 and ensure performance.
• Lead and mentor offshore teams; own end-to-end delivery and client satisfaction.
• Translate business requirements into scalable data solutions and engage clients.

Skills

Data Architecture

Azure Data Platform

Hands-on coding

Offshore leadership

Stakeholder management

AI tooling for delivery

Tools

Azure Data Factory

Azure Databricks

ADLS Gen2

Power BI

Python

SQL

Spark

GitHub Copilot

Azure AI Foundry

Job description

Technical Architect – Data Engineering & Analytics (Azure)

Experience: 12–16 years

Location: Bangalore / Hyderabad

Role Summary

We are looking for a seasoned Technical Architect who combines deep hands‑on engineering expertise with architectural leadership to build scalable, enterprise‑grade data platforms on Azure. This is not a pure oversight role—you will actively contribute to design, development, and optimization while leveraging modern AI tools to accelerate delivery with high quality and governance.

What You’ll Do

• Architecture & Solution Design
  • Architect and deliver scalable, secure, and cost‑efficient data platforms on Azure
  • Design modern data architectures (lakehouse, medallion, batch + streaming)
  • Define reusable frameworks, standards, and best practices
• Data Engineering & Platform Build
  • Design and implement high‑performance data pipelines using Azure Data Factory and Databricks
  • Build and optimize data lakes using ADLS Gen2
  • Implement ELT/ETL frameworks using Spark, Python, and SQL
  • Ensure performance optimization, reliability, and scalability
• Hands‑on Engineering & AI‑Driven Delivery
  • Actively contribute to design, development, and optimization of data pipelines and platforms
  • Leverage AI‑assisted development tools to accelerate delivery while maintaining high quality
  • Promote AI‑augmented engineering practices across the team
  • Balance speed, cost, performance, and governance using automation
  • Drive reusable components and intelligent frameworks
• Leadership & Delivery
  • Lead and mentor offshore teams
  • Drive code quality through reviews and standards
  • Own end‑to‑end delivery and client satisfaction
• Client Engagement
  • Translate business requirements into scalable solutions
  • Act as a trusted advisor to clients
  • Drive proactive communication and value realization

Must‑Have Skills

• 12+ years in Data Engineering / Analytics with architecture experience
• Deep expertise in Azure data ecosystem
• Strong hands‑on engineering and coding skills
• Experience leading offshore teams
• Stakeholder management and communication skills
• Experience using AI tools to improve productivity and quality

Good to Have

• Azure certifications
• Experience with streaming or AI/ML workloads

Tech Stack

Azure Data Factory (ADF), Azure Databricks (PySpark), ADLS Gen2, Power BI, Python, SQL, Spark, AI‑assisted tools (GitHub Copilot, Azure AI Foundry, LLM‑based accelerators)