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Data Architect

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Onsite

Data Architect

Asec Engineers

Data Architect

Skills

Google Cloud PlatformSQL QueriesBig DataData EngineeringTableauData ScienceSnowflakeData AnalysisMachine LearningAIAWSHadoopCompliancePower BIAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

21 September 2026

What they need


Join Verdantas - A Top #ENR 81 Firm,

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

Data Architecture Design:

Develop and maintain enterprise data architecture, including data models, pipelines, and storage solutions.

Define standards for data integration, transformation, and governance.

Solution Development:

Design and implement data solutions using modern technologies (cloud, big data, ETL tools).

Ensure solutions are optimized for scalability, performance, and security.

Integration Migration:

Lead data migration projects from legacy systems to modern platforms.

Integrate structured and unstructured data from multiple sources.

Collaboration:

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.

Governance Compliance:

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.

Bachelor s or Master s degree in Computer Science, Data Engineering, 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.

Preferred Certifications:

Azure Solutions Architect Expert

AWS certified data engineer

Google Data Engineer

Location and Work Set-up

Pune, Maharashtra, India

Work Mode: In Office

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.

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