Senior Data Engineer -Snowflake– Investments Managament/Capital Market 13+Years

Position: Senior Data Engineer – Investments Data Platform (Snowflake) Duration: Contract Location: : New York, NY (Hybrid). Job Description: Who are we looking for? 10-15+ 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.