Enterprise Data Architect

Position: Enterprise Data Architect Telecom Data Migration
Experience: 10+ Years
Employment Type: Contractor
Location: Work from Home
Working Hours: 2:00 PM to 11:00 PM IST
Note: Full-time candidates who are immediately available may also be considered.

Job Summary

We are looking for an experienced Enterprise Data Architect with strong expertise in telecom data migration, cloud data architecture, and data integration.
The candidate will be responsible for leading data migration initiatives from legacy systems to Siebel and downstream systems, while defining scalable enterprise data architecture and integration frameworks.

The ideal candidate should have extensive experience with GCP, BigQuery, ETL/ELT, API integration, SQL, data governance, data quality, and cloud orchestration.

Required Technical Skills

10+ years of experience in data architecture, data engineering, or data migration.
Strong experience in telecom data migration projects.
Experience migrating data from legacy systems to Siebel and downstream systems.
Strong hands-on experience with Google Cloud Platform and Google BigQuery.
Excellent knowledge of data integration architecture and frameworks.
Strong experience in ETL/ELT design and implementation.
Very strong SQL skills, including complex transformations and query optimization.
Experience with API integration.
Experience in metadata-driven ETL and data quality management.
Experience with Google Cloud Composer for workflow orchestration.
Strong understanding of data governance, data lineage, and data security.
Good-to-have experience with Google Dataplex for governance and control.
Good-to-have experience with Python.
Good-to-have experience with Striim.
Knowledge of batch, real-time, and streaming data integration patterns.

Key Deliverables
Enterprise Data Architecture Blueprint
Data Strategy Roadmap
Data Models and Standards
Cloud Data Architecture Framework
Data Governance Framework
Integration Architecture Documents
Data Security Architecture
Migration and Modernization Plans
Metadata Management and Data Quality Framework
Architecture Governance Standards and Documentation

Leadership Competencies
Strategic thinking
Stakeholder management
Architecture governance
Problem-solving
Innovation mindset
Team mentoring
Business acumen
Strong communication and presentation skills
Ability to work effectively with cross-functional and distributed teams