Canoe Platform Data/Integration Engineer
Listed on 2026-06-24
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IT/Tech
Business Systems/ Tech Analyst, Data Engineering, Data Warehousing, Data Analyst
Company Overview
Brown Advisory is an independent investment management and strategic advisory firm committed to delivering a combination of first‑class performance, strategic advice and the highest level of client service. Over the years, we have purposefully built and nurtured our client‑first culture. The firm’s clients—including individuals, families, family offices, endowments, foundations, charities, institutions, consultants, and financial intermediaries—are served by over 1,000 colleagues worldwide, all of whom are equity owners of the firm.
PositionSummary
Brown Advisory is seeking a Canoe Data / Integration Engineer to support and scale the firm’s alternative investment data ecosystem. This role is responsible for technical enablement, data integration, data quality, automation, and production support of Canoe‑related workflows within the firm.
Primary Duties and Responsibilities- Build, maintain, and improve integrations between Canoe and enterprise platforms, including Addepar, Snowflake, reporting tools, portfolio systems, accounting systems, data warehouses, and other vendor applications.
- Support document ingestion, classification, extraction, validation, exception management, and downstream delivery of alternative investment data.
- Analyze, troubleshoot, and resolve data issues involving capital calls, distributions, capital account statements, NAVs, commitments, contributions, withdrawals, valuations, K‑1s, fund metadata, investor entities, and related alternative investment documents.
- Support, maintain, and enhance Canoe‑related data workflows across alternative investments, investment operations, portfolio management, client reporting, performance analytics, and financial reporting.
- Develop and maintain data pipelines, SQL queries, reconciliation logic, data validation scripts, exception reports, and operational monitoring routines.
- Partner with investment operations, reporting, portfolio management, accounting, compliance, and technology teams to translate business requirements into data requirements, mappings, validation rules, and integration specifications.
- Support secure and controlled data movement from Canoe into Snowflake and other enterprise data platforms.
- Contribute to data modeling, data transformation, and consumption‑layer design for alternative investment data used in reporting, analytics, portfolio review, and client service workflows.
- Use APIs, file‑based integrations, ETL/ELT tools, automation scripts, and platform configuration to improve the reliability and scalability of Canoe‑related workflows.
- Monitor production data feeds, identify exceptions, perform root‑cause analysis, coordinate remediation, and elevate issues to vendors or internal teams as appropriate.
- Validate data quality, completeness, timeliness, and consistency across Canoe, Addepar, Snowflake, reporting tools, and other downstream systems.
- Participate in platform enhancements, regression testing, user acceptance testing, release planning, production deployments, and change‑management activities.
- Maintain documentation for data flows, source‑to‑target mappings, business rules, control points, reconciliation procedures, support runbooks, and platform operating procedures.
- Identify opportunities to automate manual processes, reduce recurring exceptions, improve document‑processing accuracy, and strengthen operational controls.
- Ensure Canoe‑related data processes align with Brown Advisory’s standards for security, privacy, auditability, operational resilience, and financial services regulatory expectations.
- Collaborate with architects, data engineers, analysts, platform owners, vendors, and business stakeholders to improve the reliability, usability, and scalability of the alternative investment data environment.
- Bachelor’s degree in Information Systems, Information Technology, Computer Science, Finance, Accounting, Business Analytics, Data Analytics, or a related field.
- 5+ years of experience in data engineering, data analysis, platform integration, investment operations technology, financial systems support, or enterprise data operations.
- Experience with Canoe or comparable alternative…
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