Data Architect
Core
Designing a unified, governed, multi-tenant Lakehouse to unify disconnected data domains for cross-product analytics, customer benchmarking, and AI-driven innovation.
Role type
Senior Data Architect (SaaS, Multi-product)
Builds
Unified data Lakehouse, canonical data models, semantic/query layers, and ingestion pipelines for analytics and AI agents.
Domain
SaaS, Subscription Spend Management, Financial Services
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling (conceptual/logical/physical), Master Data Management, Lakehouse architecture, SaaS tenant isolation, Stream processing, SQL optimization, Data governance
Preferred skills
AI/Agentic use cases (RAG, vector stores), Modern data cataloging, Python for orchestration, Real-time analytics
Technologies
Dremio, Snowflake, Databricks, AWS (S3, Glue, Athena), NATS, Apache Kafka, Debezium, Apache Flink, Spark, Iceberg, Delta Lake, Parquet, Avro
Responsibilities
Author canonical data models across the product estate; Define data contracts and naming standards; Lead master data management and entity resolution; Design semantic/query layers and governance standards; Define Lakehouse target architecture and ingestion patterns; Establish architecture practice and hiring standards.
Seniority
Senior, hands-on IC