AVP, Data Architect (L11)
Core
Design and govern enterprise data architectures to support analytics, reporting, and agentic AI solutions for a consumer financing company.
Role type
Senior IC Data Architect (AI/Analytics focus)
Builds
Enterprise data repositories, AI-ready datasets, semantic layers, and data products for agentic AI workloads.
Domain
Financial Services / Data Engineering & AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling (star schema, 3NF), Cloud data platforms (Redshift, Snowflake, BigQuery), ETL/ELT pipelines, Python, AWS infrastructure, Data governance, AI data preparation, Streaming data integration, Identity and security architecture.
Preferred skills
Knowledge graphs, Entity resolution, LLM and agentic AI patterns (RAG, prompts), Feature stores, Enterprise architecture frameworks (TOGAF), Financial services domain expertise.
Technologies
AWS (S3, Redshift, Glue, IAM), Python, Apache Iceberg, PostgreSQL, CDC, APIs, Event buses.
Responsibilities
Define logical and physical data models for analytics and AI; Execute POCs for AWS cloud and AI solutions; Establish data preparation pipelines for model fine-tuning; Define data governance policies for AI workloads; Partner with stakeholders to define data contracts and integration patterns; Drive adoption of metadata and catalog tools.
Seniority
Senior, hands-on IC with leadership influence
