Chief Data Architect

Algo App Digital Pvt. Ltd.; Chennai District; On-site; INR 3,800,000 - 7,000,000; Full time

Job summary

Algo App Digital Pvt. Ltd. invites an experienced Enterprise Data Architect to shape and drive our organization-wide data architecture strategy. You will define scalable data models, governance frameworks, and interoperability standards to support analytics, AI/ML, and BI initiatives across the enterprise.

You will lead data governance, security, and lifecycle programs while mentoring teams and guiding technology roadmaps in a complex, multi-business environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; Master's degree preferred.
• 15–20+ years of experience in Enterprise Data Architecture, Data Engineering, and Data Governance.
• Strong expertise in Data Architecture, Master Data Management (MDM), Metadata Management, Data Quality, and Data Integration.
• Hands-on experience designing enterprise data platforms, data lakes, and cloud-based data solutions.
• Strong knowledge of Oracle ecosystem, enterprise integration, data modeling, and analytics platforms.
• Experience implementing DAMA-DMBOK principles and enterprise Data Governance frameworks.
• Exposure to AI/ML data platforms, Business Intelligence, and advanced analytics is preferred.
• TOGAF Certification and DAMA certification are highly preferred.
• Excellent leadership, stakeholder management, communication, and problem-solving skills.
• Experience working in large enterprise or multi-business environments with global stakeholders is an added advantage.

Responsibilities

• Define and drive the enterprise-wide data architecture strategy aligned with business objectives.
• Design scalable data architecture covering transactional, analytical, master, and reference data domains.
• Establish and implement enterprise Data Governance frameworks, policies, and standards.
• Lead Master Data Management (MDM), metadata management, data quality, and data lifecycle initiatives.
• Develop enterprise data models, integration strategies, and interoperability standards.
• Architect modern data platforms supporting analytics, AI/ML, and business intelligence.
• Review solution architectures, data models, integration patterns, and technical designs.
• Collaborate with business, IT, security, and leadership teams to deliver enterprise-wide data solutions.
• Drive data governance, compliance, security, privacy, and regulatory standards across the organization.
• Mentor technical teams and provide architectural guidance for enterprise data initiatives.
• Lead architecture reviews, governance forums, and stakeholder discussions.
• Define enterprise data standards, best practices, and technology roadmaps.

Skills

Data architecture

MDM & Metadata management

Data governance

Data quality

Data integration

Cloud data platforms

Analytics platforms

Leadership & stakeholder management

Education

Bachelor's degree in CS/Engineering/IS

Master's degree preferred

Tools

Oracle ecosystem

Enterprise integration

TOGAF

DAMA-DMBOK

Job description

• Define and drive the enterprise-wide data architecture strategy aligned with business objectives.
• Design scalable data architecture covering transactional, analytical, master, and reference data domains.
• Establish and implement enterprise Data Governance frameworks, policies, and standards.
• Lead Master Data Management (MDM), metadata management, data quality, and data lifecycle initiatives.
• Develop enterprise data models, integration strategies, and interoperability standards.
• Architect modern data platforms supporting analytics, AI/ML, and business intelligence.
• Review solution architectures, data models, integration patterns, and technical designs.
• Collaborate with business, IT, security, and leadership teams to deliver enterprise-wide data solutions.
• Drive data governance, compliance, security, privacy, and regulatory standards across the organization.
• Mentor technical teams and provide architectural guidance for enterprise data initiatives.
• Lead architecture reviews, governance forums, and stakeholder discussions.
• Define enterprise data standards, best practices, and technology roadmaps.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; Master's degree preferred.
• 15–20+ years of experience in Enterprise Data Architecture, Data Engineering, and Data Governance.
• Strong expertise in Data Architecture, Master Data Management (MDM), Metadata Management, Data Quality, and Data Integration.
• Hands‑on experience designing enterprise data platforms, data lakes, and cloud-based data solutions.
• Strong knowledge of Oracle ecosystem, enterprise integration, data modeling, and analytics platforms.
• Experience implementing DAMA-DMBOK principles and enterprise Data Governance frameworks.
• Exposure to AI/ML data platforms, Business Intelligence, and advanced analytics is preferred.
• TOGAF Certification and DAMA certification are highly preferred.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; Master's degree preferred.
• Excellent leadership, stakeholder management, communication, and problem‑solving skills.
• Experience working in large enterprise or multi‑business environments with global stakeholders is an added advantage.