Hiring - Senior Data Engineer – Investments Data Platform (Snowflake) - New York, NY (Hybrid)

Hello Folks,

 

Hope you are doing great!

 

This is Himank Jani from ApTask.

 

We have urgent requirements with one of our client's, please review the job description below and let me know if you have any relevant candidates on your bench, Kindly share.

 

Need Only Local Candidate's.

Kindly share work authorization status and current location with resume.

 

Role: Senior Data Engineer – Investments Data Platform (Snowflake)

Location: New York, NY (Hybrid). No remote

Rate: $63/hr on C2C.

Client:- Mphasis

 

Note:

• Expertise on data engineering with focus on DB and ETL/ELT.
• Data modelling, data governance.
• Data quality/reconciliation.

 

Who are we looking for?

Experience building enterprise‑scale data platforms, preferably within asset management, capital markets, or financial services, who will play a critical role in shaping the architecture, development standards, and long‑term scalability of this strategic investments data platform.

 

Key Responsibilities

Data Platform & Pipeline Engineering

• Design, build, and maintain robust, scalable ELT pipelines on Snowflake to ingest data from IBOR/ABOR systems, custodians, market data providers, and internal platforms.
• Implement end‑to‑end ingestion, standardization, and transformation logic using Airflow, dbt, Python, and Snowflake stored procedures.
• Manage schema evolution, metadata, and versioning to support changing upstream data structures without disrupting downstream consumers.

 

Data Modeling & Analytics Enablement

• Design and implement investment‑focused data models to support holdings, transactions, cash flows, exposure analytics, and performance reporting.
• Build analytics‑ready, well‑documented data structures optimized for portfolio management, finance, risk, and regulatory use cases.
• Partner with reporting, analytics, and investment operations teams to translate business reporting requirements into scalable technical designs.

 

Data Quality, Governance & Controls

• Establish and enforce data quality checks, reconciliation controls, and validation frameworks to ensure accuracy and completeness of financial data.
• Implement governance standards including lineage, auditability, and data certification aligned with regulatory and internal control expectations.
• Support operational readiness by enabling monitoring, alerting, and issue resolution across data pipelines.

 

Performance & Scalability

• Optimize Snowflake performance and cost efficiency for large‑scale financial datasets through clustering, partitioning, and query tuning.
• Contribute to platform architecture decisions, development standards, and best practices to ensure long‑term scalability and maintainability.

 

Collaboration & Leadership

• Work closely with investment operations, finance, reporting, and analytics stakeholders to ensure platform alignment with business needs.
• Act as a senior technical contributor in a lean, high‑impact environment, influencing design decisions and mentoring junior engineers as needed.

 

 

 

Required Qualifications

• 10–15 years of experience building enterprise‑scale data platforms, preferably within asset management, capital markets, or financial services.
• Deep hands‑on experience with Snowflake, including performance optimization and advanced SQL development.
• Strong experience with modern ELT frameworks such as dbt and orchestration tools like Airflow.
• Advanced proficiency in SQL and Python for data transformation, automation, and control frameworks.
• Proven experience designing complex financial data models supporting holdings, transactions, cash flows, and exposure analytics.
• Solid understanding of IBOR/ABOR concepts, investment operations, and downstream reporting requirements.
• Experience implementing data quality, reconciliation, and governance controls in regulated environments.

 

Preferred Qualifications

• Experience working with custodian data feeds, market data, and investment accounting platforms.
• Familiarity with regulatory reporting and audit requirements in investment management.
• Exposure to cloud‑native data architectures and cost optimization strategies.
• Strong documentation and stakeholder communication skills.

 

Behavioral & Leadership Competencies

• Strong analytical problem‑solving; able to resolve complex technical and operational issues.
• Executive‑level communication and stakeholder management.
• Self‑motivated, outcome‑oriented, with a strong transformation and delivery focus.
• Collaborates effectively across matrixed teams; drives client satisfaction and trust.

 

 

Best Regards,

Himank Deepak Jani

ApTask | A global, diversity-certified workforce solutions provider.

Address: 120 Wood Ave South, Suite # 300, Iselin, NJ 08830

 

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