Senior Data Architecture Lead - AI & Cloud

Quantiphi; New York (NY); Vor Ort; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

Quantiphi in New York, NY seeks an experienced Senior ATA – Data to bridge enterprise data architecture, execution, and product delivery. You will architect scalable cloud data pipelines and datalakes while driving core technical product and program management workflows.

The ideal candidate brings deep domain expertise in financial services—alternative investments—paired with senior-level hands-on data engineering chops in Python, SQL, and Snowflake across the full software and data lifecycle.

Qualifikationen

• 8+ years of hands-on data engineering, product management, or technical architecture experience.
• Deep domain knowledge of financial services, esp. alternative investments (PE, Hedge Funds, Private Credit).
• 8+ years of production-grade Python development for large-scale data processing.

Aufgaben

• Architect, construct and maintain cloud data pipelines and Snowflake-based datalakes.
• Design and manage high-throughput ETL/ELT on structured and unstructured data.
• Lead data migration from legacy stores to modern architectures with mapping and transformations.
• Implement end-to-end data quality, schema validation, de-duplication for regulatory reporting.
• Drive roadmaps, backlogs, and balance feature delivery with technical debt.
• Lead end-to-end lifecycle from requirements to go-live and UAT.
• Break down objectives into epics, user stories, and acceptance criteria in Jira.
• Coordinate between business users, analytics teams, and engineering leads.

Kenntnisse

Data engineering

Python

SQL

Snowflake

ETL/ELT

Data governance

Product management

Agile

Stakeholder management

Ausbildung

Bachelor’s or Master’s in Computer Science / Data Engineering / Finance

Tools

Airflow

dbt

PySpark

Jira

Confluence

Pandas/Polars

Jobbeschreibung

Quantiphi in New York, NY seeks an experienced Senior ATA – Data to bridge enterprise data architecture, execution, and product delivery. You will architect scalable cloud data pipelines and datalakes while driving core technical product and program management workflows.

The ideal candidate brings deep domain expertise in financial services—alternative investments—paired with senior-level hands-on data engineering chops in Python, SQL, and Snowflake across the full software and data lifecycle.