{"schemaVersion":"jobsearcher.job.v1","id":"6eec9fbc29ab3f4ef042d44f","url":"https://jobsearcher.com/jobs/6eec9fbc29ab3f4ef042d44f","canonicalUrl":"https://jobsearcher.com/jobs/6eec9fbc29ab3f4ef042d44f","title":"Data Integration Engineer","description":"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.\r\nPosition 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.\r\nPrimary 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.\r\nSupport document ingestion, classification, extraction, validation, exception management, and downstream delivery of alternative investment data.\r\nAnalyze, 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.\r\nSupport, maintain, and enhance Canoe-related data workflows across alternative investments, investment operations, portfolio management, client reporting, performance analytics, and financial reporting.\r\nDevelop and maintain data pipelines, SQL queries, reconciliation logic, data validation scripts, exception reports, and operational monitoring routines.\r\nPartner with investment operations, reporting, portfolio management, accounting, compliance, and technology teams to translate business requirements into data requirements, mappings, validation rules, and integration specifications.\r\nSupport secure and controlled data movement from Canoe into Snowflake and other enterprise data platforms.\r\nContribute to data modeling, data transformation, and consumption-layer design for alternative investment data used in reporting, analytics, portfolio review, and client service workflows.\r\nUse APIs, file-based integrations, ETL/ELT tools, automation scripts, and platform configuration to improve the reliability and scalability of Canoe-related workflows.\r\nMonitor production data feeds, identify exceptions, perform root-cause analysis, coordinate remediation, and elevate issues to vendors or internal teams as appropriate.\r\nValidate data quality, completeness, timeliness, and consistency across Canoe, Addepar, Snowflake, reporting tools, and other downstream systems.\r\nParticipate in platform enhancements, regression testing, user acceptance testing, release planning, production deployments, and change-management activities.\r\nMaintain documentation for data flows, source-to-target mappings, business rules, control points, reconciliation procedures, support runbooks, and platform operating procedures.\r\nIdentify opportunities to automate manual processes, reduce recurring exceptions, improve document-processing accuracy, and strengthen operational controls.\r\nEnsure Canoe-related data processes align with Brown Advisory's standards for security, privacy, auditability, operational resilience, and financial services regulatory expectations.\r\nCollaborate with architects, data engineers, analysts, platform owners, vendors, and business stakeholders to improve the reliability, usability, and scalability of the alternative investment data environment.\r\nRequired Qualifications Bachelor's degree in Information Systems, Information Technology, Computer Science, Finance, Accounting, Business Analytics, Data Analytics, or a related field.\r\n5+ years of experience in data engineering, data analysis, platform integration, investment operations technology, financial systems support, or enterprise data operations.\r\nExperience with Canoe or comparable alternative investment document automation, data extraction, data management, or investment operations platforms.\r\nStrong understanding of alternative investment workflows, including capital calls, distributions, statements, valuations, commitments, contributions, withdrawals, fund metadata, investor entities, and client reporting requirements.\r\nExperience supporting data integrations, data pipelines, data feeds, file-based transfers, API-based integrations, or vendor platform connectivity.\r\nIntermediate to advanced SQL skills, including querying, joins, aggregations, data profiling, exception identification, validation, and reconciliation.\r\nExperience analyzing and resolving data quality issues across investment, accounting, reporting, portfolio, transaction, position, and reference datasets.\r\nFamiliarity with wealth or asset management workflows, including portfolio management, investment operations, client reporting, performance reporting, alternative investments, and financial reporting.\r\nExperience translating business requirements into technical specifications, data mappings, validation rules, reconciliation procedures, and operating documentation.\r\nStrong analytical, problem-solving, documentation, communication, and stakeholder-management skills.\r\nAbility to work effectively in a fast-paced environment with multiple priorities, production deadlines, and high expectations for data accuracy and reliability.\r\nAbility to work in Brown Advisory's Baltimore office three days per week.\r\nDesired Qualifications Direct hands-on experience with Canoe, including document collection workflows, extraction review, validation queues, exception management, data delivery, and platform support.\r\nExperience integrating Canoe with Addepar, Snowflake, Databricks, enterprise data warehouses, BI/reporting tools, CRM platforms, accounting systems, client portals, or portfolio management platforms.\r\nExperience using APIs, webhooks, ETL/ELT tools, orchestration platforms, secure file transfers, and automation scripts to support platform integrations.\r\nExperience with Snowflake, including data ingestion, transformation, modeling, access controls, data sharing, quality checks, and consumption-layer design.\r\nExperience with Python, dbt, Airflow, Azure Data Factory, AWS Glue, Fivetran, Matillion, or comparable data engineering tools.\r\nKnowledge of portfolio accounting, investment book of record concepts, performance measurement, client reporting, asset classification, account hierarchy, and investment data governance.\r\nExperience developing dashboards, operational metrics, exception reports, reconciliation tools, or data quality monitoring processes.\r\nFamiliarity with financial services controls, including audit, data lineage, access controls, SOX, AML/KYC, SEC/FINRA, privacy, and operational risk requirements.\r\nExperience with Agile delivery, SDLC processes, production support, incident management, root-cause analysis, release validation, and change-management procedures.\r\nAbility to work across business, data, technology, investment operations, reporting, compliance, and vendor teams to deliver practical, scalable data solutions.\r\nTechnical and Business Level Competencies Canoe platform workflows, document ingestion, extraction validation, exception handling, and data delivery\r\nAlternative investment data, including capital calls, distributions, statements, NAVs, commitments, valuations, fund metadata, and investor entities\r\nAPI-based integrations, file-based integrations, middleware, ETL/ELT workflows, and data pipeline support\r\nSQL, data profiling, data reconciliation, data validation, and exception management\r\nSnowflake and modern enterprise data platform concepts\r\nAddepar and downstream portfolio reporting or analytics workflows\r\nWealth and asset management operations\r\nPortfolio analytics, client reporting, performance reporting, investment operations, and financial reporting\r\nData governance, data quality, lineage, access controls, auditability, and operational resilience\r\nProduction support, incident triage, root-cause analysis, vendor escalation, release validation, and runbook documentation\r\nAgile delivery, requirements analysis, user acceptance testing, change management, and technical documentation\r\nCommunication with investment, operations, reporting, compliance, data, technology, and vendor stakeholders\r\nApplicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization (e.g., H-1B, O-1, F-1 (OPT), TN, or any other non-immigrant visa classifications that require employer support or sponsorship).\r\nHiring Manager Salary: $132.5K–$172.5K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.\r\nBenefits Medical\r\nDental\r\nVision\r\nWellness program participation incentive\r\nFinancial wellness program\r\nFitness event fee reimbursement\r\nGym membership discounts\r\nColleague Assistance Program\r\nTelemedicine Program (for those enrolled in Medical)\r\nAdoption Benefits\r\nDaycare late pick-up fee reimbursement\r\nBasic Life & Accidental Death & Dismemberment Insurance\r\nVoluntary Life & Accidental Death & Dismemberment Insurance\r\nShort Term Disability\r\nPaid parental leave\r\nGroup Long Term Disability\r\nPet Insurance\r\n401(k) (50% employer match up to IRS limit, 4 year vesting)\r\nBrown Advisory is an Equal Employment Opportunity Employer.\r\nJ-18808-Ljbffr","company":"Brown Advisory","rawCompany":"brown advisory","city":"Baltimore","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:29:59.929Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"523999","title":"Miscellaneous Financial Investment Activities","slug":"miscellaneous-financial-investment-activities"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Integration Engineer","description":"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.\r\nPosition 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.\r\nPrimary 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.\r\nSupport document ingestion, classification, extraction, validation, exception management, and downstream delivery of alternative investment data.\r\nAnalyze, 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.\r\nSupport, maintain, and enhance Canoe-related data workflows across alternative investments, investment operations, portfolio management, client reporting, performance analytics, and financial reporting.\r\nDevelop and maintain data pipelines, SQL queries, reconciliation logic, data validation scripts, exception reports, and operational monitoring routines.\r\nPartner with investment operations, reporting, portfolio management, accounting, compliance, and technology teams to translate business requirements into data requirements, mappings, validation rules, and integration specifications.\r\nSupport secure and controlled data movement from Canoe into Snowflake and other enterprise data platforms.\r\nContribute to data modeling, data transformation, and consumption-layer design for alternative investment data used in reporting, analytics, portfolio review, and client service workflows.\r\nUse APIs, file-based integrations, ETL/ELT tools, automation scripts, and platform configuration to improve the reliability and scalability of Canoe-related workflows.\r\nMonitor production data feeds, identify exceptions, perform root-cause analysis, coordinate remediation, and elevate issues to vendors or internal teams as appropriate.\r\nValidate data quality, completeness, timeliness, and consistency across Canoe, Addepar, Snowflake, reporting tools, and other downstream systems.\r\nParticipate in platform enhancements, regression testing, user acceptance testing, release planning, production deployments, and change-management activities.\r\nMaintain documentation for data flows, source-to-target mappings, business rules, control points, reconciliation procedures, support runbooks, and platform operating procedures.\r\nIdentify opportunities to automate manual processes, reduce recurring exceptions, improve document-processing accuracy, and strengthen operational controls.\r\nEnsure Canoe-related data processes align with Brown Advisory's standards for security, privacy, auditability, operational resilience, and financial services regulatory expectations.\r\nCollaborate with architects, data engineers, analysts, platform owners, vendors, and business stakeholders to improve the reliability, usability, and scalability of the alternative investment data environment.\r\nRequired Qualifications Bachelor's degree in Information Systems, Information Technology, Computer Science, Finance, Accounting, Business Analytics, Data Analytics, or a related field.\r\n5+ years of experience in data engineering, data analysis, platform integration, investment operations technology, financial systems support, or enterprise data operations.\r\nExperience with Canoe or comparable alternative investment document automation, data extraction, data management, or investment operations platforms.\r\nStrong understanding of alternative investment workflows, including capital calls, distributions, statements, valuations, commitments, contributions, withdrawals, fund metadata, investor entities, and client reporting requirements.\r\nExperience supporting data integrations, data pipelines, data feeds, file-based transfers, API-based integrations, or vendor platform connectivity.\r\nIntermediate to advanced SQL skills, including querying, joins, aggregations, data profiling, exception identification, validation, and reconciliation.\r\nExperience analyzing and resolving data quality issues across investment, accounting, reporting, portfolio, transaction, position, and reference datasets.\r\nFamiliarity with wealth or asset management workflows, including portfolio management, investment operations, client reporting, performance reporting, alternative investments, and financial reporting.\r\nExperience translating business requirements into technical specifications, data mappings, validation rules, reconciliation procedures, and operating documentation.\r\nStrong analytical, problem-solving, documentation, communication, and stakeholder-management skills.\r\nAbility to work effectively in a fast-paced environment with multiple priorities, production deadlines, and high expectations for data accuracy and reliability.\r\nAbility to work in Brown Advisory's Baltimore office three days per week.\r\nDesired Qualifications Direct hands-on experience with Canoe, including document collection workflows, extraction review, validation queues, exception management, data delivery, and platform support.\r\nExperience integrating Canoe with Addepar, Snowflake, Databricks, enterprise data warehouses, BI/reporting tools, CRM platforms, accounting systems, client portals, or portfolio management platforms.\r\nExperience using APIs, webhooks, ETL/ELT tools, orchestration platforms, secure file transfers, and automation scripts to support platform integrations.\r\nExperience with Snowflake, including data ingestion, transformation, modeling, access controls, data sharing, quality checks, and consumption-layer design.\r\nExperience with Python, dbt, Airflow, Azure Data Factory, AWS Glue, Fivetran, Matillion, or comparable data engineering tools.\r\nKnowledge of portfolio accounting, investment book of record concepts, performance measurement, client reporting, asset classification, account hierarchy, and investment data governance.\r\nExperience developing dashboards, operational metrics, exception reports, reconciliation tools, or data quality monitoring processes.\r\nFamiliarity with financial services controls, including audit, data lineage, access controls, SOX, AML/KYC, SEC/FINRA, privacy, and operational risk requirements.\r\nExperience with Agile delivery, SDLC processes, production support, incident management, root-cause analysis, release validation, and change-management procedures.\r\nAbility to work across business, data, technology, investment operations, reporting, compliance, and vendor teams to deliver practical, scalable data solutions.\r\nTechnical and Business Level Competencies Canoe platform workflows, document ingestion, extraction validation, exception handling, and data delivery\r\nAlternative investment data, including capital calls, distributions, statements, NAVs, commitments, valuations, fund metadata, and investor entities\r\nAPI-based integrations, file-based integrations, middleware, ETL/ELT workflows, and data pipeline support\r\nSQL, data profiling, data reconciliation, data validation, and exception management\r\nSnowflake and modern enterprise data platform concepts\r\nAddepar and downstream portfolio reporting or analytics workflows\r\nWealth and asset management operations\r\nPortfolio analytics, client reporting, performance reporting, investment operations, and financial reporting\r\nData governance, data quality, lineage, access controls, auditability, and operational resilience\r\nProduction support, incident triage, root-cause analysis, vendor escalation, release validation, and runbook documentation\r\nAgile delivery, requirements analysis, user acceptance testing, change management, and technical documentation\r\nCommunication with investment, operations, reporting, compliance, data, technology, and vendor stakeholders\r\nApplicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization (e.g., H-1B, O-1, F-1 (OPT), TN, or any other non-immigrant visa classifications that require employer support or sponsorship).\r\nHiring Manager Salary: $132.5K–$172.5K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.\r\nBenefits Medical\r\nDental\r\nVision\r\nWellness program participation incentive\r\nFinancial wellness program\r\nFitness event fee reimbursement\r\nGym membership discounts\r\nColleague Assistance Program\r\nTelemedicine Program (for those enrolled in Medical)\r\nAdoption Benefits\r\nDaycare late pick-up fee reimbursement\r\nBasic Life & Accidental Death & Dismemberment Insurance\r\nVoluntary Life & Accidental Death & Dismemberment Insurance\r\nShort Term Disability\r\nPaid parental leave\r\nGroup Long Term Disability\r\nPet Insurance\r\n401(k) (50% employer match up to IRS limit, 4 year vesting)\r\nBrown Advisory is an Equal Employment Opportunity Employer.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:29:59.929Z","dateModified":"2026-08-08T01:29:59.929Z","hiringOrganization":{"@type":"Organization","name":"Brown Advisory","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Baltimore","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6eec9fbc29ab3f4ef042d44f"},"url":"https://jobsearcher.com/jobs/6eec9fbc29ab3f4ef042d44f"}}