TalentOla
Base pay range
$90.00/hr - $100.00/hr
New York City, NY; (Onsite – 5 days/week)
Tech skill set : Data Architecture, Data Modelling, Expert level SQL, Python, AWS Technologies (Glue), Snowflake and data engineering design patterns
About the Role We are seeking an experienced Lead Data Engineer / Data Architect to spearhead the design, development, and implementation of our enterprise data platform. This role will be instrumental in shaping and driving our data engineering roadmap, ensuring scalability, performance, and innovation. The ideal candidate combines deep technical expertise with strong leadership skills and a solid understanding of financial services data domains.
Required Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a related field.
8+ years of experience in data engineering with a strong focus on
Data Architecture, Data Modelling (Conceptual, Logical, Physical), ELT processes and data pipeline development.
Hands-on experience with
Snowflake cloud data platform , including data sharing, secure views, and performance optimization.
Proficiency in SQL and familiarity with data integration and ETL/ELT tools.
AWS Technologies (Glue, EMR)
Strong understanding of data engineering design patterns
Strong problem-solving skills and the ability to work independently to meet deadlines.
Excellent communication skills for effectively interacting with technical and non-technical stakeholders.
Preferred Qualifications
Certifications in Snowflake or relevant data technologies.
Experience in the financial services sector, especially
asset management / alternative investments , with an understanding of data security and compliance requirements.
Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).
Knowledge of data visualization tools (e.g., Tableau, Power BI).
FYI Asset Management Experience Refers to roles and systems involved in
managing investments, portfolios, and client assets
— typically for institutional investors, private equity, hedge funds, or wealth management clients.
Key Functions & Systems
Portfolio management and rebalancing
Fund accounting / NAV calculation
Investor reporting and performance analytics
Trade capture and reconciliation
Risk analytics (VaR, exposure, correlation, stress testing)
Investment data management (security master, pricing, positions)
Platforms:
Investran, eFront, Aladdin, SimCorp, Geneva, Charles River, Advent, Eagle PACE, Bloomberg AIM
#J-18808-Ljbffr
New York City, NY; (Onsite – 5 days/week)
Tech skill set : Data Architecture, Data Modelling, Expert level SQL, Python, AWS Technologies (Glue), Snowflake and data engineering design patterns
About the Role We are seeking an experienced Lead Data Engineer / Data Architect to spearhead the design, development, and implementation of our enterprise data platform. This role will be instrumental in shaping and driving our data engineering roadmap, ensuring scalability, performance, and innovation. The ideal candidate combines deep technical expertise with strong leadership skills and a solid understanding of financial services data domains.
Required Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a related field.
8+ years of experience in data engineering with a strong focus on
Data Architecture, Data Modelling (Conceptual, Logical, Physical), ELT processes and data pipeline development.
Hands-on experience with
Snowflake cloud data platform , including data sharing, secure views, and performance optimization.
Proficiency in SQL and familiarity with data integration and ETL/ELT tools.
AWS Technologies (Glue, EMR)
Strong understanding of data engineering design patterns
Strong problem-solving skills and the ability to work independently to meet deadlines.
Excellent communication skills for effectively interacting with technical and non-technical stakeholders.
Preferred Qualifications
Certifications in Snowflake or relevant data technologies.
Experience in the financial services sector, especially
asset management / alternative investments , with an understanding of data security and compliance requirements.
Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).
Knowledge of data visualization tools (e.g., Tableau, Power BI).
FYI Asset Management Experience Refers to roles and systems involved in
managing investments, portfolios, and client assets
— typically for institutional investors, private equity, hedge funds, or wealth management clients.
Key Functions & Systems
Portfolio management and rebalancing
Fund accounting / NAV calculation
Investor reporting and performance analytics
Trade capture and reconciliation
Risk analytics (VaR, exposure, correlation, stress testing)
Investment data management (security master, pricing, positions)
Platforms:
Investran, eFront, Aladdin, SimCorp, Geneva, Charles River, Advent, Eagle PACE, Bloomberg AIM
#J-18808-Ljbffr