Senior Data Engineer – Investments Data Platform (Snowflake) at New York, NY (Hybrid)
Shivam Singh
Hi,
I hope this email finds you well.
Please review the job description & let me know if you are interested.
Job Title: Senior Data Engineer – Investments Data Platform (Snowflake)
Location: New York, NY (Hybrid)
Contract
Need someone from Banking/Finance/Investment Domain
Need Local or Nearby Consultants Only
Need 12+ Years of Experience
Job Description:
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,
Shivam Singh
Technical Recruiter | eHub Global
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ad...@seerteksystems.com
Dear Shivam Singh,
I hope you're doing well,
Please find below suitable candidates for your requirement:
Candidate 1:
Name: Jaya Krishna Amara
Skill: Data Architect
Location: Bloomington, IL
Visa: H1B
Email: Jayakrish...@gmail.com
Candidate 2:
Name: Jaya Krishna Amara
Skill: Senior data engineer
Location: Bloomington, IL
Visa: H1B
Email: Jayakrish...@gmail.com
Let me know if you need more information.
Thanks,
Adnan
SeertekSystems
+1(732)-851-1987
Sr BenchSales Recruiter