Lead Data Architect

Virtusa; Bengaluru Urban; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Virtusa seeks a highly seasoned Lead/Principal Data Architect with 10+ years of experience to design and scale our next-generation data platform. You will own the data strategy, bridging complex business requirements with robust technical execution on AWS.

You will lead in Databricks and Snowflake expertise, architect high-throughput, real-time data pipelines, and provide technical governance across engineering teams while collaborating with AI/DS teams.

Qualifications

• Experience in designing scalable data architectures for cloud data ecosystems.
• Proven track record building large-scale real-time data pipelines.

Responsibilities

• Design, build, and scale end-to-end data platforms on AWS.
• Lead streaming and batch ETL/ELT pipelines for large datasets.
• Provide technical governance and mentorship to engineering teams.
• Collaborate with Data Science/AI teams to support ML pipelines and analytics.
• Ensure secure, compliant integration with core security and networking protocols.

Skills

Databricks

Python

Scala

SQL

Snowflake

Structured Streaming

Apache Kafka

Flink

AWS Kinesis

Education

B.Tech/MTech

Job description

Mandatory Skills - Databricks,Python,Scala,SQL,Snowflake,Structured Streaming,Apache

Kafka,Flink/AWS Kinesis

Job Description

Architecture & Strategy End-to-end design of scalable, secure, and highly available data architectures leveraging modern cloud data ecosystems (Databricks and Snowflake).

Pipeline Engineering Architect, optimize, and oversee the deployment of reliable streaming and batch data pipelines (ETL/ELT) to process complex, large-scale datasets.

Cloud Architecture Architect and deploy scalable enterprise data platform components natively within the AWS ecosystem, ensuring tight integration with core security, IAM, and networking protocols.

API Ingestion & Orchestration Design and implement robust data ingestion frameworks leveraging Databricks APIs and external REST/GraphQL APIs for automated workflows, platform orchestration, and data delivery.

Real-time Processing Design and implement robust frameworks for real-time data ingestion and processing to solve business-critical, low-latency use cases.

Hybrid Data Modelling Harmonize "old school" relational data warehousing patterns (Kimball/Inmon, Star/Snowflake schemas) with unstructured/semi-structured modern paradigms.

Technical Leadership Act as a core problem-solver for complex data bottlenecks, provide technical governance, and mentor engineering teams on data best practices.

AI Integration Collaborate with Data Science and AI teams to architect data layers that seamlessly support LLMs, Machine Learning pipelines, and advanced analytics solutions.

Education Qualificaiton

B. Tech/MTech

Roles & Responsibilities

Position Summary

We are seeking a highly seasoned Lead/Principal Data Architect with over a decade of experience to design, build, and scale our next-generation data platform. In this role, you will be the mastermind behind our data strategy, bridging the gap between complex business requirements and robust technical execution.

You will bring exceptional problem-solving abilities, deep expertise in Databricks and Snowflake, and a proven track record of engineering high-throughput, real-time data pipelines.