Data Architect

Ness Digital Engineering; Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Ness Digital Engineering is seeking a Data Architect to lead assessment and design of enterprise data architecture supporting data security initiatives. You will understand current-state data flows, design target-state architectures, and minimize reliance on sensitive identifiers.

Lead collaboration with Security Solution Architects, establish future-state principles, and help develop a roadmap for implementation. The role emphasizes secure, scalable data patterns across ecosystems.

Qualifications

• 8+ years in enterprise data architecture.
• Experience with complex system integration landscapes.
• Experience with customer and loyalty data environments.
• Experience designing secure data architectures.

Responsibilities

• Assess current-state data architecture.
• Analyze source-to-target data flows.
• Perform data lineage and dependency analysis.
• Review integration and propagation of sensitive data.
• Evaluate identifier usage and alternatives.
• Design target-state data architecture.
• Define secure integration patterns.
• Recommend data minimization strategies.
• Support governance and architecture workshops.
• Produce architecture standards and recommendations.

Skills

Enterprise Data Architecture

Data Modeling

Master Data Management

Data Lineage & Metadata Management

API Integration Patterns

Event-Driven Architecture

Data Warehousing & Data Lakes

Cloud Data Platforms

Data Governance Concepts

Education

Bachelor's Degree in Computer Science

TOGAF

CDMP

Azure Data Architect

DAMA Certifications

Job description

Job Description – Data Architect

Role Purpose

The Data Architect will lead the assessment and design of the enterprise data architecture supporting the data security initiative. The role is responsible for understanding current-state data flows, designing target-state data architecture, improving data handling patterns, and minimizing reliance on sensitive identifiers.

Job Summary

The Data Architect will evaluate how data moves across applications, APIs, batch interfaces, integration platforms, data hubs, analytics environments, and downstream consumer systems. The role will identify architectural weaknesses and define modern, secure, and scalable patterns that reduce data exposure while supporting business requirements.

Working closely with the Security Solution Architect, the Data Architect will establish future-state architecture principles and help develop a roadmap for implementation.

Key Responsibilities

• Assess current-state data architecture.
• Analyze source-to-target data flows.
• Perform data lineage and dependency analysis.
• Review integration and propagation of sensitive data.
• Evaluate identifier usage and alternatives.
• Design target-state data architecture.
• Define secure integration patterns.
• Recommend data minimization strategies.
• Support governance and architecture workshops.
• Produce architecture standards and recommendations.

Required Technical Skills

• Enterprise Data Architecture
• Data Modeling
• Master Data Management
• Data Lineage & Metadata Management
• API Integration Patterns
• Event-Driven Architecture
• Data Warehousing & Data Lakes
• Cloud Data Platforms
• Data Governance Concepts

Preferred Skills

• Data Mesh
• Lakehouse Architectures
• Data Catalog Tools
• Integration Platforms
• Azure Data Services
• Kafka / Pulsar
• Enterprise Integration Patterns

Experience Required

• 8+ years in enterprise data architecture.
• Experience with complex system integration landscapes.
• Experience with customer and loyalty data environments.
• Experience designing secure data architectures.

Education & Preferred Certifications

Education

• Bachelor's Degree in Computer Science, Data Engineering, Engineering, or related field.

Preferred Certifications

• TOGAF
• CDMP
• Azure Data Architect
• DAMA Certifications

Key Deliverables

• Current-State Data Architecture Assessment
• Data Flow & Lineage Maps
• Data Dependency Analysis
• Target-State Data Architecture
• As-Is vs To-Be Architecture Matrix
• Identifier Rationalization Strategy
• Integration Architecture Recommendations
• Architecture Roadmap

Key Stakeholders

• Enterprise Architecture
• Security Architecture
• Data Engineering Teams
• Integration Teams
• Application Owners
• Business Stakeholders

Success Measures / KPIs

• Completeness of current-state architecture assessment
• Accuracy of data lineage documentation
• Approval of target-state architecture
• Reduction in sensitive identifier propagation
• Adoption of architecture recommendations