Senior Data Architect — Cloud Pipelines & AI for FinServ

Quantiphi; Oregon; Hybrid; USD 150,000 - 210,000; Full time

Job summary

Quantiphi, an AI-first digital engineering and consulting company, seeks a Senior ATA - Data to bridge data architecture, execution, and product delivery in New York, USA. You will architect scalable cloud data pipelines and datalakes using Snowflake, Python, and SQL for financial datasets.

Ideal candidates bring 8+ years in data engineering/architecture, deep Python/SQL skills, Snowflake experience, and cloud ecosystem exposure (AWS/Azure/GCP).

Qualifications

• 8+ years hands-on data engineering, technical product management, or technical architecture.
• Strong domain knowledge of financial services, with experience handling sensitive data within alternative investments.
• 8+ years production‑grade Python development for large‑scale data processing.
• 8+ years writing advanced SQL with window functions, CTEs, recursion, and optimization.
• Experience deploying on Snowflake and cloud ecosystems (AWS, Azure, or GCP).
• Proven background managing end‑to‑end project lifecycles, release management, and Jira/Confluence delivery frameworks.
• Experience with orchestration tools (Airflow, Prefect, Dagster) and data transformation frameworks (dbt).
• Experience navigating regulatory and governance standards (SOC2, GDPR, BCBS 239).
• Bachelor’s or Master’s degree in CS/Data Eng/Info Systems/Finance or related quantitative discipline.

Responsibilities

• Architect, construct, and maintain resilient cloud data pipelines and datalakes powered by Snowflake.
• Design and manage automated, high-throughput ingestions and transformations across financial datasets.
• Lead migration from legacy stores to modern data architectures with robust mapping and transformations.
• Implement data reconciliation, schema validation, and data integrity checks for analytics and reporting.
• Drive product roadmaps, backlog grooming, and balance feature delivery with technical debt and reliability.
• Lead end-to-end delivery from requirements through go-live and UAT.
• Break down objectives into epics and stories in Jira; ensure smooth delivery.
• Coordinate with business users, quant/analytics teams, and engineering leads to enable platform rollout.

Skills

Data engineering

Financial services knowledge

Python development

SQL proficiency

Cloud data platforms

End-to-end delivery

Education

Bachelor’s/Master’s in CS, Data Eng, Info Systems, Finance

Tools

Snowflake

AWS

Azure

GCP

Airflow

Dagster

dbt

Job description

Quantiphi, an AI-first digital engineering and consulting company, seeks a Senior ATA - Data to bridge data architecture, execution, and product delivery in New York, USA. You will architect scalable cloud data pipelines and datalakes using Snowflake, Python, and SQL for financial datasets.

Ideal candidates bring 8+ years in data engineering/architecture, deep Python/SQL skills, Snowflake experience, and cloud ecosystem exposure (AWS/Azure/GCP).