Data Architect

Verdantas; Pune District; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

A leading data solutions firm in Pune is seeking a Data Architect to design and implement scalable, secure, and efficient data solutions. The successful candidate will have over 10 years of experience in data architecture, possess expertise in SQL and cloud platforms such as Azure, AWS, and GCP, and be knowledgeable in big data technologies. This role involves defining data architecture and ensuring optimal performance for analytics and operational systems, offering a robust opportunity for technical leadership in a collaborative environment.

Qualifications

• 10+ years of experience in data architecture and solution design.
• Expertise in SQL, data modeling, and ETL processes.
• Strong knowledge of cloud platforms and data services.
• Experience with big data technologies and data warehousing.

Responsibilities

• Develop and maintain enterprise data architecture, including data models, pipelines, and storage solutions.
• Define standards for data integration, transformation, and governance.
• Design and implement data solutions using modern technologies.
• Ensure solutions are optimized for scalability, performance, and security.
• Lead data migration projects from legacy systems to modern platforms.

Skills

SQL

Data modeling

ETL processes

Cloud platforms (Azure, AWS, GCP)

Big data technologies (Hadoop, Spark)

Data warehousing (Snowflake, Redshift, Azure Fabric, BigQuery)

Education

Bachelor’s or master’s in computer science, Data Science, or related field

Tools

Power BI

Tableau

Job description

We at Verdantas, looking for a Data Architect to join our team in Pune. In this role you will be responsible for designing and implementing scalable, secure, and efficient data solutions that meet business requirements. This role involves defining data architecture, integrating data sources, and ensuring optimal performance for analytics, reporting, and operational systems.

Key Responsibilities

• Develop and maintain enterprise data architecture, including data models, pipelines, and storage solutions.
• Define standards for data integration, transformation, and governance.
• Design and implement data solutions using modern technologies (cloud, big data, ETL tools).
• Ensure solutions are optimized for scalability, performance, and security.
• Lead data migration projects from legacy systems to modern platforms.
• Integrate structured and unstructured data from multiple sources.
• Work closely with business analysts, data engineers, and application teams to deliver end-to-end solutions.
• Provide technical guidance and best practices for data management.
• Ensure compliance with data privacy regulations and internal security policies.
• Implement data quality and metadata management processes.

Skills & Qualifications

• Bachelor’s or master’s in computer science, Data Science, or related field.
• 10 + years of experience in data architecture and solution design.
• Expertise in SQL, data modeling, and ETL processes.
• Strong knowledge of cloud platforms (Azure, AWS, GCP) and data services.
• Experience with big data technologies (Hadoop, Spark) and data warehousing (Snowflake, Redshift, Azure Fabric, BigQuery).
• Familiarity with API integration, data security, and governance frameworks.

Preferred Skills

• Knowledge of machine learning pipelines and AI-driven analytics.
• Experience with BI tools (Power BI, Tableau).
• Understanding of DevOps practices for data solutions.