AVP, Data Architect (L11)

Own and design data sourcing, modeling, governance, and delivery for analytics, reporting, and agentic AI workloads at enterprise scale.

Develop and maintain comprehensive knowledge of core business data domains to build performant, resilient, and cost-effective data architectures supporting AI and analytics solutions.

Partner with data engineering, AI platform, governance, data science, and business teams to define standards, operating models, and implement data pipelines and governance for AI-ready datasets.

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).

Minimum 6+ years experience in data engineering, data architecture, or analytics platforms; at least 3+ years in cloud data platforms and enterprise data leadership.

Strong experience with modern cloud data stacks (AWS services including S3, Redshift, Glue Data Catalog), data modeling for AI workloads, and building ETL/ELT pipelines for AI/ML use cases.

Work Timings: Must be available between 06:00 AM to 11:30 AM US Eastern Time (Indian evening to night hours); flexibility otherwise, with occasional travel to Indian regional hubs.

Proven ability to lead multi-disciplinary teams and influence across platform, AI, data, and business stakeholders at leadership level.

Deep hands-on expertise in data model design (star schema, 3NF), semantic layers, Lakehouse architecture, and AI data pipelines supporting agentic AI and LLM use cases.

Experience in regulated financial services or similar domains where data lineage, security, governance, and compliance for AI are critical.