Associate Technical Architect – Data

🔥 15 hours ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🔙 Backend Engineer

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This company has sponsored H1B visas in the past.

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Architect, construct, and maintain resilient cloud data pipelines and modern datalake environments powered by Snowflake • Design and manage automated, high-throughput ingestions and transformations across structured, semi-structured, and unstructured financial datasets • Lead migration initiatives from legacy data stores to modern data architectures, establishing robust data mapping frameworks, transformation logic, and architectural consistency • Implement end-to-end data reconciliation, schema validation, de-duplication, and financial data integrity checks supporting mission-critical analytics and regulatory reporting • Drive product roadmaps, groom and prioritize technical backlogs, and balance feature delivery against technical debt and platform reliability • Lead initiatives across all phases, from business requirements gathering and technical design through development, integration testing, user acceptance testing, cutover planning, and go-live execution • Break down high-level strategic objectives into epics, technical user stories, and acceptance criteria in Jira • Serve as the central conduit between business users, quant/analytics teams, and engineering leads; proactively escalate risks, align timelines, and ensure operational readiness during platform rollouts

🎯 Requirements

• 8+ years of hands-on data engineering, technical product management, or technical architecture experience • Strong domain knowledge of financial services, with direct experience handling sensitive financial data within the alternative investments space (e.g., Private Equity, Hedge Funds, Private Credit, Real Estate) • 8+ years of production-grade Python development focusing on large-scale data processing, performance optimization, and automation using libraries such as Pandas, Polars, PySpark, or equivalent • 8+ years writing advanced SQL, including deep expertise in complex Window Functions, Common Table Expressions (CTEs), recursive queries, dynamic conditional logic, and database query optimization • Demonstrated production experience deploying and optimizing solutions on Snowflake and associated cloud ecosystems (AWS, Azure, or GCP) • Proven background 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 (e.g., Airflow, Prefect, Dagster) and data transformation frameworks (e.g., dbt) • Experience navigating regulatory and governance standards (e.g., SOC2, GDPR, 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

🏖️ Benefits

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world • Be a part of an energetic team of highly dynamic and talented individuals • Exposure to working with Fortune 500 companies and innovative market disruptors • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

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