Principal Data Architect: Lakehouse & AI-Ready Platform

Sapsf; United States; Sur place; USD 180 000 - 260 000; Plein temps

Résumé du poste

Sapsf is seeking a Principal Data Architect to hands-on design, build, govern, and evolve the enterprise data platform that serves as the single source of truth across the organization. You will own end-to-end architecture: data modeling, ingestion, transformation, storage, governance, and serving for analytics, reporting, and AI systems.

The role emphasizes data modeling, platform design, pipeline engineering, data quality, and governance, with growing focus on enabling AI-ready foundations for

Qualifications

• BS / MS in Computer Science, Information Systems, Data Engineering, or a related quantitative field.
• Prior experience at a global financial institution (payments, risk, AML, compliance) or large enterprise SaaS, operating under strict regulatory oversight.
• Certifications such as Databricks Data Engineer, AWS Data Engineer or Solutions Architect, or Snowflake SnowPro Advanced Architect.
• Familiarity with AI standards and agent data access models.

Responsabilités

• Lead end-to-end enterprise data platform architecture and governance.
• Model data with dimensional, normalized, and Data Vault patterns.
• Design lakehouse and data mesh platforms; leverage Databricks, Snowflake, and cloud services.
• Own data quality, metadata, lineage, and security practices across teams.
• Partner with ML/AI teams to enable trusted data pipelines.

Connaissances

SQL

Python

PySpark

Data modeling

Databricks

Delta Lake

Snowflake

Kafka

Spark Structured Streaming

AWS

Azure

Airflow

Terraform

Git CI/CD

Formation

BS / MS in Computer Science, Information Systems, Data Engineering, or related field

Outils

Databricks

Delta Lake

Snowflake

Kafka

Spark

Airflow

Terraform

Git

Kubernetes

Docker

FastAPI

Grafana

CloudWatch

Description du poste

Sapsf is seeking a Principal Data Architect to hands-on design, build, govern, and evolve the enterprise data platform that serves as the single source of truth across the organization. You will own end-to-end architecture: data modeling, ingestion, transformation, storage, governance, and serving for analytics, reporting, and AI systems.

The role emphasizes data modeling, platform design, pipeline engineering, data quality, and governance, with growing focus on enabling AI-ready foundations for