Data Architect

Confidential Client; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Confidential Client is seeking a seasoned Data Architect to lead enterprise data strategy, architecture, and design initiatives across critical financial services programs. The role emphasizes modern data platform transformation, scalable governance, and enabling advanced analytics and AI/ML capabilities.

Qualifications include 5–8 years in data architecture or related fields, strong SQL and cloud experience (AWS/Azure/GCP), and proficiency in data governance, warehousing, and API-based

Qualifications

• Strong experience in Enterprise Data Architecture and Data Modeling.
• Hands-on experience with SQL and relational databases.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Expertise in ETL/ELT tools and data integration frameworks.
• Knowledge of Data Governance, Data Quality, and Metadata Management.
• Experience in Data Warehousing and Lakehouse architectures.
• Understanding of AI/ML data enablement and analytics platforms.
• Experience with enterprise integration and API-based architectures.
• Strong stakeholder communication and documentation skills.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
• 5–8 years of experience in Data Architecture, Data Engineering, or Enterprise Data Management.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Responsibilities

• Design and implement enterprise data architecture solutions aligned with business and technology strategies.
• Develop scalable data models, data pipelines, and integration frameworks across multiple systems.
• Collaborate with business stakeholders, data engineers, analysts, and application teams to define data requirements.
• Support modernization initiatives involving cloud data platforms, analytics, and AI/ML enablement.
• Establish data governance, metadata management, master data management (MDM), and data quality frameworks.
• Ensure compliance with data security, privacy, and regulatory standards.
• Create conceptual, logical, and physical data models for enterprise applications.
• Optimize data storage, processing, and retrieval strategies for performance and scalability.
• Participate in architecture reviews, solution design discussions, and technology evaluations.
• Support ETL/ELT design and enterprise reporting/analytics initiatives.

Skills

Enterprise Data Architecture

Data Modeling

SQL

Relational Databases

Cloud Platforms

ETL/ELT Tools

Data Governance

Data Quality

Metadata Management

Data Warehousing

Lakehouse Architecture

AI/ML Data Enablement

APIs & Integration

Stakeholder Communication

Education

Bachelor's degree in CS/IT/Engineering

Tools

ETL/ELT Tools

Cloud Platforms

Job description

Data Architect

We are seeking an experienced Enterprise Data Architect to lead enterprise-wide data strategy, architecture, and design initiatives for critical financial services programs. The ideal candidate will drive modern data platform transformation, establish scalable data governance frameworks, and enable advanced analytics and AI/ML capabilities across the organization. This role requires expertise in enterprise data management, cloud-based data ecosystems, data quality, governance, and integration architectures supporting large-scale business operations.

Key Responsibilities

• Design and implement enterprise data architecture solutions aligned with business and technology strategies.
• Develop scalable data models, data pipelines, and integration frameworks across multiple systems.
• Collaborate with business stakeholders, data engineers, analysts, and application teams to define data requirements.
• Support modernization initiatives involving cloud data platforms, analytics, and AI/ML enablement.
• Establish data governance, metadata management, master data management (MDM), and data quality frameworks.
• Ensure compliance with data security, privacy, and regulatory standards.
• Create conceptual, logical, and physical data models for enterprise applications.
• Optimize data storage, processing, and retrieval strategies for performance and scalability.
• Participate in architecture reviews, solution design discussions, and technology evaluations.
• Support ETL/ELT design and enterprise reporting/analytics initiatives.

Requirements

• Strong experience in Enterprise Data Architecture and Data Modeling.
• Hands-on experience with SQL and relational databases.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Expertise in ETL/ELT tools and data integration frameworks.
• Knowledge of Data Governance, Data Quality, and Metadata Management.
• Experience in Data Warehousing and Lakehouse architectures.
• Understanding of AI/ML data enablement and analytics platforms.
• Experience with enterprise integration and API-based architectures.
• Strong stakeholder communication and documentation skills.
• Bachelor?s degree in Computer Science, Information Technology, Engineering, or related field.
• 5–8 years of experience in Data Architecture, Data Engineering, or Enterprise Data Management.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Work Arrangements

• Location: Bengaluru, Karnataka, India.
• Type: FullTime.