À propos
Senior Data Engineer - Investments Data Platform (Snowflake)
Location:
New York, NY (Hybrid).
Who are we looking for?
20+ years of 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.
Compétences linguistiques
- English
Avis aux utilisateurs
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