This is a remote position.

Data Architect

Job Details

- 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

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 up-to-date 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.

📌 Data Architect (Bengaluru)
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