Chief Data Architect

Algoappdigital; Chennai District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Algoappdigital seeks an Senior Enterprise Data Architect to lead the organization’s data architecture strategy. You will design scalable data systems across transactional, analytical, and reference domains, establish governance frameworks, and guide MDM, metadata management, and data quality initiatives.

You will develop enterprise models, integration strategies, and interoperability standards, architect modern data platforms for analytics, AI/ML and BI, and collaborate with business, IT,

Qualifications

• Bachelor’s degree in CS/Engineering/IS or related field; Master’s preferred.
• 15–20+ years in Enterprise Data Architecture, Data Governance, and Data Engineering.
• Strong expertise in MDM, metadata management, data quality, and integration.
• Hands-on design of enterprise data platforms, data lakes, and cloud data solutions.
• Knowledge of Oracle ecosystem and enterprise integration patterns.
• TOGAF and DAMA certifications are highly preferred.

Responsibilities

• Define and drive enterprise data architecture strategy aligned with business objectives.
• Design scalable data architecture across transactional, analytical, master, and reference data.
• Establish enterprise Data Governance frameworks, policies, and standards.
• Lead 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 BI.
• Review solution architectures and data designs; ensure alignment with standards.
• Collaborate with business, IT, security, and leadership to deliver data solutions.
• Drive governance, compliance, security, privacy, and regulatory standards.
• Mentor technical teams and provide architectural guidance.
• Lead architecture reviews and stakeholder discussions.
• Define enterprise data standards, best practices, and roadmaps.

Skills

Data architecture

MDM

Metadata management

Data governance

Data integration

Leadership

Stakeholder management

Communication

AI/ML data platforms

Education

Bachelor's degree in Computer Science or related

Master's degree preferred

TOGAF Certification

DAMA Certification

Tools

Oracle ecosystem

Data lakes

Cloud data platforms

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.
• 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.