Data Architect

Zoho; Bengaluru South; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Zoho seeks an experienced Data Architect to lead enterprise data planning, modeling, and high-level design of global data infrastructure.

You will establish governance frameworks, architect cloud data lakes/warehouses, and define data flows between operational systems and analytics platforms.

Qualifications

• 10+ years of total IT/enterprise software or data management experience.
• 5+ dedicated years as Lead Data Architect on large-scale platforms.
• Solid mastery of data modeling, cloud data ecosystems, ETL/ELT, and governance.
• CDMP or active cloud data engineering certification (AWS/GCP).

Responsibilities

• Architect high-level enterprise data strategies and blueprints for data lakes, warehouses, and data mesh.
• Design complex models (Star/Snowflake, Data Vault) optimized for performance.
• Govern data integration standards, metadata, and real-time streaming architectures.
• Define privacy, security, and lifecycle policies with compliance teams.
• Chair the Enterprise Data Governance Board and oversee cross-platform dependencies.
• Optimize storage costs and query performance across cloud environments.
• Lead data engineers and BI professionals to align models with business goals.

Skills

Lead Data Architect

Data Modeling

ETL/ELT

Data Governance

Cloud Architecture

Data Integration

Tools

Snowflake

Databricks

BigQuery

Job description

• Relevant Experience Required: 5+ years of dedicated data architecture design and implementation experience across enterprise data ecosystems
  
• Mandatory Certification: Certified Data Management Professional (CDMP) or Google Cloud Certified Professional Data Engineer / AWS Certified Data Analytics - Specialty
  

Job Summary

We are seeking an experienced Data Architect to lead the strategic planning, enterprise data modeling, and high-level design of our global data infrastructure. The ideal candidate will establish overarching data governance frameworks, architect modern cloud data lakes and warehouses, and define how information flows seamlessly between operational systems and analytical platforms.

Key Responsibilities

• Architect high-level enterprise data strategies and blueprints, defining the structural roadmap for modern data lakes, data warehouses, and data mesh implementations.
  
• Design complex enterprise data models, constructing robust conceptual, logical, and physical dimensional designs (e.g., Star/Snowflake schemas, Data Vault) optimized for retrieval and storage efficiency.
  
• Govern enterprise data integration and ingestion standards, establishing master data policies, metadata repositories, and real-time streaming architectures.
  
• Define data privacy, security, and lifecycle retention policies, collaborating with compliance teams to enforce row/column masking, data anonymization, and GDPR/CCPA alignment.
  
• Chair the Enterprise Data Governance Board, evaluating custom data pipeline designs, database schema modifications, and cross-platform data dependencies.
  
• Optimize multi-source data storage costs and query performance, auditing storage paradigms, data partitioning rules, and compression strategies across cloud environments.
  
• Provide strategic leadership to data engineers and BI specialists, managing cross-functional technical dependencies and aligning data models with corporate growth objectives.
  

Requirements

• 10+ years of total IT enterprise software or data management experience, with 5+ dedicated years acting as a Lead Data Architect on large-scale platforms.
  
• Strong technical mastery of advanced data modeling methodologies, cloud storage arrays ( Snowflake , Databricks , BigQuery ), ETL/ELT pipeline frameworks, and data governance standards.
  
• Deep structural understanding of distributed computing boundaries, data latency limits, database engine internals, and enterprise master data schemas.
  
• Mandatory certification: CDMP or active professional-level cloud data engineering credential (AWS/GCP).
  

Preferred Qualifications

• Prior implementation background managing large-scale migrations from legacy on-premise databases to cloud-native data architectures.
  
• Strategic consulting experience advising executive leadership on enterprise data monetization, data quality improvement, and analytics roadmaps.