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Canoe Platform Data​/Integration Engineer

Job in Washington, District of Columbia, 20022, USA
Listing for: Brown Advisory
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 145750 - 189750 USD Yearly USD 145750.00 189750.00 YEAR
Job Description & How to Apply Below
Position: Canoe Platform Data / Integration Engineer

Company Overview

Every firm has a culture – the values, beliefs, methodology, attitudes and standards that reflect an organization’s DNA. But the truly inspiring firms – the game‑changers, the industry leaders and the disruptors – have cultures that propel them to innovate and stand out. At Brown Advisory, we aim to be one of those inspired firms. Over the years, we have purposefully built and nurtured our client‑first culture.

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. 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.

Position Summary

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. The role will work at the intersection of technology, investment operations, portfolio management, client reporting, enterprise data, and vendor platforms.

The successful candidate will help ensure that alternative investment documents and data are accurately ingested, validated, transformed, integrated, and delivered to downstream platforms such as Addepar, Snowflake, reporting tools, portfolio systems, accounting platforms, and analytics environments. This is a hands‑on technical and analytical role for a candidate with at least five years of relevant experience in data engineering, platform integrations, investment operations technology, or financial systems support.

The ideal candidate has direct Canoe experience or comparable experience with alternative investment data, document automation, data extraction, API integrations, and financial services data operations.

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…
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