Associate Technical Architect - Data - USA

Quantiphi

5d

About The Position

Quantiphi is seeking an experienced Senior ATA – Data to bridge enterprise data architecture, execution, and product delivery. This technical leadership role combines designing and building scalable cloud data pipelines and datalake environments with driving technical product and program management workflows. The role calls for expertise in financial services, particularly alternative investments, along with hands-on data engineering skills in Snowflake, Python, and advanced SQL and delivery experience across the full software and data development lifecycle. The position is based in New York, USA, and is listed as full time.

Requirements

• 8+ years of hands-on data engineering, technical product management, or technical architecture experience.
• Strong financial services domain knowledge and direct experience handling sensitive financial data in alternative investments, such as Private Equity, Hedge Funds, Private Credit, or Real Estate.
• 8+ years of production-grade Python development focused on large-scale data processing, performance optimization, and automation, using Pandas, Polars, PySpark, or equivalent.
• 8+ years writing advanced SQL, including complex window functions, CTEs, recursive queries, dynamic conditional logic, and query optimization.
• Production experience deploying and optimizing solutions on Snowflake and associated cloud ecosystems such as AWS, Azure, or GCP.
• Experience managing end-to-end project lifecycles, release management, operational cutover plans, and Jira/Confluence delivery frameworks.
• Experience designing automated continuous reconciliation frameworks for complex accounting, portfolio, or transactional data.
• Familiarity with modern orchestration tools such as Airflow, Prefect, or Dagster and data transformation frameworks such as dbt.
• Experience with regulatory and governance standards such as SOC2, GDPR, or BCBS 239 within buy-side or sell-side financial institutions.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Finance, or a related quantitative discipline.

Responsibilities

• Architect, construct, and maintain resilient cloud data pipelines and modern Snowflake-powered datalake environments.
• Design and manage automated, high-throughput ingestion and transformation of structured, semi-structured, and unstructured financial datasets.
• Lead migration from legacy data stores to modern data architectures, including data mapping frameworks, transformation logic, and architectural consistency.
• Implement end-to-end data reconciliation, schema validation, de-duplication, and financial data integrity checks for analytics and regulatory reporting.
• Drive product roadmaps, groom and prioritize technical backlogs, and balance feature delivery with technical debt and platform reliability.
• Lead initiatives across requirements gathering, technical design, development, integration testing, user acceptance testing, cutover planning, and go-live execution.
• Translate strategic objectives into epics, technical user stories, and acceptance criteria in Jira.
• Coordinate business users, quant and analytics teams, and engineering leads; escalate risks, align timelines, and support operational readiness during platform rollouts.

Benefits

• Opportunity to join a fast-growing AI-first digital transformation and engineering company.
• Work with an energetic team of dynamic and talented individuals.
• Exposure to Fortune 500 companies and innovative market disruptors.
• Exposure to technologies related to artificial intelligence and machine learning, data, and cloud.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior