Data Architect

V2 Solutions; Chennai District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

V2 Solutions in Chennai seeks an experienced Data Architect to design scalable data platforms and lead data governance initiatives. The role focuses on building data warehouses and lakes, leveraging PySpark, Hadoop, Kafka, and Databricks for analytics, AI/ML, and reporting.

The position includes cloud migration from on-premises systems to AWS/Azure/GCP, data modeling, and collaboration with data engineers, scientists, and analysts to align with business goals.

Qualifications

• Experience designing scalable data platforms (data warehouses/databases) with governance.
• Proficiency in PySpark, Hadoop, Kafka, Databricks for large-scale processing.
• Experience migrating on-premises databases to cloud platforms (AWS/Azure/GCP).
• Ability to model data conceptually, logically and physically with quality standards.

Responsibilities

• Design and architect scalable, high-performance, and secure data platforms to support analytics, AI/ML, and reporting needs.
• Leverage Big Data technologies such as PySpark, Hadoop, Kafka, and Databricks for large-scale data processing and transformation.
• Develop and maintain conceptual, logical, and physical data models aligned with business requirements and governance standards.
• Architect data integration pipelines to enable seamless data flow across diverse systems, including legacy and modern cloud platforms (Databricks, Snowflake, AWS, Azure).
• Lead modernization and migration initiatives from on-premises databases (e.g., Informix, Oracle) to cloud-native platforms (AWS, Azure, Google Cloud).
• Continuously optimize data pipelines and storage for performance, scalability, cost efficiency, and SLA adherence.
• Partner with business development teams to provide technical leadership during pre-sales engagements, including client workshops and architecture discussions.
• Collaborate with data engineers, data scientists, business analysts, and IT teams to ensure architecture alignment with business goals.
• Define and enforce data governance frameworks, quality standards, and security policies to ensure compliance with organizational and regulatory requirements.
• Evaluate emerging technologies and tools to define long-term data strategy and ensure future scalability.

Skills

Data modeling

Cloud platforms

PySpark

Hadoop

Kafka

Databricks

Snowflake

SQL databases

NoSQL databases

ETL/ELT pipelines

Tools

Databricks

Snowflake

PySpark

Hadoop

Kafka

SQL Server

Oracle

MySQL

DynamoDB

CosmosDB

AWS

Azure

GCP

Job description

Data Architect Role Overview: We are looking for an experienced; Data Architect ;to design and implement scalable, high-performance data platforms that align with our organizations evolving business needs.

Responsibilities:

Design and architect scalable, high-performance, and secure data platforms (Data Warehouses, Data Lakes, Lakehouse) to support analytics, AI/ML, and reporting needs. Leverage Big Data technologies such as PySpark, Hadoop, Kafka, and Databricks for large-scale data processing and transformation. Develop and maintain conceptual, logical, and physical data models aligned with business requirements and governance standards. Architect data integration pipelines to enable seamless data flow across diverse systems, including legacy and modern cloud platforms (Databricks, Snowflake, AWS, Azure). Lead modernization and migration initiatives from on-premises databases (e.g., Informix, Oracle) to cloud-native platforms (AWS, Azure, Google Cloud). Continuously optimize data pipelines and storage for performance, scalability, cost efficiency, and SLA adherence. Partner with business development teams to provide technical leadership during pre-sales engagements, including client workshops and architecture discussions. Collaborate with data engineers, data scientists, business analysts, and IT teams to ensure architecture alignment with business goals. Define and enforce data governance frameworks, quality standards, and security policies to ensure compliance with organizational and regulatory requirements. Evaluate emerging technologies and tools to define long-term data strategy and ensure future scalability.

Key Skills:

Data modeling (conceptual, logical, physical) for high-performance platforms Cloud platforms: AWS, Azure, GCP; Databricks, Snowflake Big Data architecture and distributed processing (PySpark, Hadoop, Kafka) Relational (SQL Server, Oracle, MySQL) and NoSQL (DynamoDB, CosmosDB) ETL/ELT pipeline design, automation, and system integration Cloud migration: legacy to cloud transitions

Disclaimer :

This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.