Job Purpose:

The Data Architect is responsible for designing, governing, and optimizing the organization’s enterprise data architecture. The role ensures that data is reliable, secure, high-quality, and accessible to support business operations, analytics, AI/ML initiatives, and digital transformation goals. The Data Architect serves as the strategic technical lead for data platforms, data standards, and data governance frameworks.

Responsibilities:

He should be responsible to:

• Define the enterprise data architecture blueprint (data flow, storage, processing, access layers).
• Develop data models (conceptual, logical, physical) for operational and analytical systems.
• Ensure alignment of data architecture with business strategy, digital transformation, and regulatory requirements.
• Define data domain boundaries and maintain the organization’s data taxonomy.
• Design data integration patterns (ETL/ELT, streaming, API-based ingestion).
• Oversee the integration of data from multiple systems (ERP, CRM, IoT, SaaS platforms).
• Ensure interoperability standards (JSON/REST, XML, CSV).
• Define data exchange protocols with external entities and third-party systems.
• Define and enforce data quality rules (accuracy, completeness, consistency, timeliness).
• Establish master data management (MDM) standards.
• Work with data stewards to ensure consistent data definitions and metadata management.
• Monitor and report data quality KPIs.
• Define and enforce data governance policies (ownership, lineage, cataloging).
• Create data quality rules and monitor accuracy, consistency, completeness, and timeliness.
• Support MDM initiatives and maintain enterprise data dictionaries.
• Work with Data Stewards to ensure consistent data definitions and classification.

Education

• Bachelor’s in Computer Engineering, Computer Science, Information Systems, or related field.
• Master’s preferred; certifications in data platform architecture (Azure, AWS, GCP) are a plus.

Experience

• 12+ years of experience in data architecture, data engineering, or enterprise architecture.
• Experience in cloud data platforms (Azure preferred for government, Data platforms such as Informatica or BigID).

Technical Skills

• Strong expertise in data modeling (OLTP/OLAP), SQL/NoSQL databases.
• Experience with Azure Data Factory, Synapse, Databricks, Data Lake storage.
• ETL/ELT patterns, data warehouse design, and MDM.
• Knowledge of data governance (DAMA-DMBOK or DCAM frameworks).