NEWPosted 2 hours ago
Job ID: JOB_ID_5617
Who are we looking for
20+ years of experience building enterprisescale data platforms, preferably within asset management, capital markets, or financial services, who will play a critical role in shaping the architecture, development standards, and longterm 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 endtoend 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 investmentfocused data models to support holdings, transactions, cash flows, exposure analytics, and performance reporting.
- Build analyticsready, welldocumented 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 largescale financial datasets through clustering, partitioning, and query tuning.
- Contribute to platform architecture decisions, development standards, and best practices to ensure longterm 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, highimpact environment, influencing design decisions and mentoring junior engineers as needed.
Required Qualifications
- 1015 years of experience building enterprisescale data platforms, preferably within asset management, capital markets, or financial services.
- Deep handson 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 cloudnative data architectures and cost optimization strategies.
- Strong documentation and stakeholder communication skills.
Behavioral & Leadership Competencies
- Strong analytical problemsolving; able to resolve complex technical and operational issues.
- Executivelevel communication and stakeholder management.
- Selfmotivated, outcomeoriented, with a strong transformation and delivery focus.
- Collaborates effectively across matrixed teams; drives client satisfaction and trust.
Compensation & Location
Salary: $140,000 – $180,000 per year
Location: New York, NY
Recruiter / Company – Contact Information
Recruiter / Employer: Investments Data Platform
Email: ktishahi9777@gmail.com
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