Data Architect

This is a remote position.

• Employment Type: Contract
  
• Work Mode: Remote
  
• Location: Offshore
  
• Total Experience Required: 10+ years
  
• 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
  

• 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).
  

• 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.