STAFFWORXS
Data Architect/ Engineering Investment/ Asset Management
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect/Engineering position in Investment/Asset Management, based in NYC for 12 months. Requires 8+ years in data engineering, expertise in Snowflake, SQL, Python, and AWS. Asset management experience preferred. Onsite 3 days/week.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 1, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#SQL (Structured Query Language) #Snowflake #"ETL (Extract #Transform #Load)" #Python #Microsoft Power BI #Data Governance #Cloud #BI (Business Intelligence) #Strategy #Scala #Tableau #Data Architecture #Data Design #AWS (Amazon Web Services) #Computer Science #AWS Glue #Data Engineering #Data Quality #Documentation #Airflow
Role description
Data Architect/ Engineering Investment/ Asset Management – New York City, NY (Onsite)
Location: NYC (Onsite, 3 days/week)
Duration: 12 Months Contract
Industry: Financial Services / Asset Management / Alternative Investments
We are seeking a highly experienced Lead Data Engineer / Data Architect to drive the design, development, and implementation of an enterprise-grade data platform for a leading financial services client. This role is critical in shaping the organization’s data engineering strategy, ensuring scalability, performance, and innovation across the data ecosystem.
Key Responsibilities
• Lead data architecture and engineering strategy aligned with technology and business roadmaps.
• Design and implement data models, ETL/ELT pipelines, and integration frameworks.
• Partner with stakeholders to deliver scalable, high-performance data solutions.
• Optimize Snowflake pipelines for performance, scalability, and resource efficiency.
• Drive cloud and data engineering best practices across teams.
• Implement robust data quality, validation, and governance procedures.
• Collaborate with PMs, architects, and BAs on milestones and deliverables.
• Mentor onsite and offshore engineering teams.
• Maintain documentation of data flows, transformations, and architecture.
• Troubleshoot pipeline issues and performance bottlenecks.
Required Qualifications
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 8+ years of data engineering experience with a strong focus on data architecture and data modelling.
• Hands-on expertise with Snowflake, SQL, Python, and AWS (Glue, EMR).
• Strong understanding of ELT frameworks, cloud data design patterns, and data governance.
• Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
• Snowflake or relevant data engineering certifications.
• Experience in asset management or alternative investments.
• Familiarity with Airflow, Tableau, Power BI, or similar tools.
Data Architect/ Engineering Investment/ Asset Management – New York City, NY (Onsite)
Location: NYC (Onsite, 3 days/week)
Duration: 12 Months Contract
Industry: Financial Services / Asset Management / Alternative Investments
We are seeking a highly experienced Lead Data Engineer / Data Architect to drive the design, development, and implementation of an enterprise-grade data platform for a leading financial services client. This role is critical in shaping the organization’s data engineering strategy, ensuring scalability, performance, and innovation across the data ecosystem.
Key Responsibilities
• Lead data architecture and engineering strategy aligned with technology and business roadmaps.
• Design and implement data models, ETL/ELT pipelines, and integration frameworks.
• Partner with stakeholders to deliver scalable, high-performance data solutions.
• Optimize Snowflake pipelines for performance, scalability, and resource efficiency.
• Drive cloud and data engineering best practices across teams.
• Implement robust data quality, validation, and governance procedures.
• Collaborate with PMs, architects, and BAs on milestones and deliverables.
• Mentor onsite and offshore engineering teams.
• Maintain documentation of data flows, transformations, and architecture.
• Troubleshoot pipeline issues and performance bottlenecks.
Required Qualifications
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 8+ years of data engineering experience with a strong focus on data architecture and data modelling.
• Hands-on expertise with Snowflake, SQL, Python, and AWS (Glue, EMR).
• Strong understanding of ELT frameworks, cloud data design patterns, and data governance.
• Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
• Snowflake or relevant data engineering certifications.
• Experience in asset management or alternative investments.
• Familiarity with Airflow, Tableau, Power BI, or similar tools.
