Develop and maintain the enterprise data architecture blueprint aligned with business strategy and AI product roadmaps.
Define enterprise-wide data models, taxonomies, and standards for consistent data usage.
Collaborate with business stakeholders to identify data-driven revenue opportunities including APIs, data products, and new service offerings.
Design data integration solutions (ETL/ELT, APIs, streaming, event-driven architecture) across applications, platforms, and business units.
Enable real-time and batch data flows to support operational and analytical systems.
Ensure data accessibility across business units and external partners while adhering to data sovereignty and compliance laws.
Implement data governance policies covering metadata management, data lineage, access control, and retention.
Define data quality metrics and oversee data cleansing and validation initiatives.
Select and design the integration of enterprise data platforms (data lakes, API gateways, event streaming platforms).
Ensure architectures are scalable, secure, and compliant with regulations (e.g., GDPR, CCPA).

8+ years in data architecture, data engineering, or enterprise data management.
Strong experience in data integration architecture across complex systems.
Expertise in data modeling (conceptual, logical, physical) and database technologies.
Strong knowledge of cloud data platforms (AWS, Azure, GCP) and integration tools.
Familiarity with data governance frameworks and regulatory compliance.
Proficiency in the design and build of data pipelines, performing data transformations, and implementing automation tasks.
Mastery of data manipulation languages, including SQL and python

Data Architect

Key skills