Brown Advisory Logo

Brown Advisory

Senior Integration Engineer

Reposted One Month Ago
In-Office
New York, NY, USA
133K-207K Annually
Senior level
In-Office
New York, NY, USA
133K-207K Annually
Senior level
Senior Addepar data engineer/analyst responsible for supporting and scaling Addepar integrations, building and maintaining data pipelines (Addepar↔Snowflake/Canoe/other platforms), diagnosing and resolving data quality issues, developing SQL-based reconciliations and automation, partnering with business and technology stakeholders, and supporting production operations, governance, testing, and documentation for wealth and asset management data.
The summary above was generated by AI

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 Senior Integration Engineer to design, build, enhance, and support system-to-system integrations across the firm’s Wealth and Asset Management technology ecosystem. This hands-on engineering role focuses on developing APIs, data pipelines, platform integrations, and automation solutions that enable secure, reliable, and scalable movement of investment and operational data across strategic business platforms.

Working closely with engineering, business, investment operations, data, and vendor teams, the Senior Integration Engineer will design and implement integration solutions supporting platforms including Addepar, Snowflake, Canoe, portfolio management systems, client reporting platforms, and other enterprise applications. The role combines strong technical engineering skills with an understanding of wealth and asset management business processes to deliver high-quality production solutions that improve operational efficiency, data quality, and business capabilities.

Successful candidates enjoy solving complex engineering and data integration challenges, contributing directly to implementation, and partnering with cross-functional teams to deliver reliable, scalable production solutions that enable Brown Advisory's Wealth and Asset Management business. This role is expected to contribute directly to the design, development, testing, deployment, and operational support of production integrations and data solutions.

The primary duties and responsibilities include but are not limited to:

  • Serve as a senior technical and analytical resource for Brown Advisory’s Addepar data ecosystem.

  • Support, enhance, and scale Addepar workflows across portfolio management, client reporting, investment operations, performance analytics, and advisory processes.

  • Analyze, troubleshoot, and resolve complex data issues involving accounts, entities, ownership structures, portfolios, holdings, transactions, securities, classifications, attributes, benchmarks, performance, and reporting outputs.

  • Build, maintain, and improve data pipelines between Addepar and enterprise platforms, including Snowflake, reporting tools, client platforms, portfolio systems, accounting systems, Canoe, and other vendor applications.

  • Use Addepar APIs, extracts, imports, and platform tools to enable data integration, automation, enrichment, validation, and downstream consumption.

  • Develop SQL queries, reconciliation logic, exception reports, data profiling routines, and automated data quality controls.

  • Partner with business and technology stakeholders to translate portfolio management, client reporting, operations, and analytics needs into data requirements, technical specifications, and scalable delivery solutions.

  • Support ingestion, transformation, normalization, and validation of portfolio, client, account, security, transaction, performance, benchmark, alternative investment, and reference data.

  • Contribute to Snowflake-centered data architecture by supporting secure data ingestion, modeling, quality checks, consumption-layer design, and integration with analytics and reporting platforms.

  • Collaborate with investment operations and reporting teams to validate performance, exposure, allocation, classification, and client reporting data.

  • Support production data operations, including data-feed monitoring, exception management, issue triage, root-cause analysis, release validation, vendor escalation, and post-incident remediation. Identify opportunities to automate manual workflows, reduce recurring data exceptions, improve data quality, and strengthen operational controls.

  • Maintain clear documentation for data flows, mappings, business rules, reconciliation procedures, platform processes, and production support runbooks.

  • Participate in platform enhancements, regression testing, user acceptance testing, release planning, and change-management activities.

  • Ensure Addepar-related data processes align with Brown Advisory’s standards for security, privacy, auditability, operational resilience, and financial services regulatory expectations.

  • Partner with architects, engineers, platform owners, business analysts, vendors, and data governance stakeholders to continuously improve the reliability, scalability, and usability of the Addepar data environment.

Required Qualifications:

  • Bachelor’s degree in Information Systems, Information Technology, Computer Science, Finance, Accounting, Business Analytics, Data Analytics, or a related field.

  • 5+ years of hands-on experience in wealth management, asset management, family office, investment advisory, or financial services environment.

  • 5+ years of experience in integration engineering, data analysis, investment operations technology, financial systems support, platform analytics, or enterprise data operations.

  • Experience designing, developing, and supporting system-to-system integrations using Snowflake, Python, dbt, APIs, ETL/ELT tools, orchestration platforms, file-based integrations, and automation frameworks.

  • Intermediate to advanced SQL skills, including joins, aggregations, data profiling, exception identification, reconciliation, and large-dataset analysis.

  • Experience diagnosing and resolving data quality issues across portfolio, account, transaction, position, security master, performance, and reporting datasets.

  • Strong understanding of wealth or asset management workflows, including portfolio management, investment operations, client reporting, performance reporting, alternative investments, and financial reporting.

  • Experience translating business requirements into data requirements, technical specifications, data mappings, validation rules, and operating procedures.

  • Strong analytical, problem-solving, communication, documentation, and stakeholder-management skills.

  • Ability to operate effectively in a fast-paced environment with multiple priorities, production deadlines, and high expectations for accuracy, reliability, and responsiveness.

  • Ability to work in a Brown Advisory’s office three days per week. Baltimore location strongly preferred.

Desired Qualifications:

  • Experience implementing or integrating the Addepar platform, including APIs, data model, platform configuration, imports/exports, and downstream integrations.

  • Experience integrating Addepar with Snowflake, enterprise data warehouses, BI/reporting tools, CRM platforms, client portals, portfolio accounting systems, or other investment operations platforms.

  • Experience with Canoe or similar alternative investment document automation and data extraction.

  • Knowledge of portfolio accounting, investment book of record concepts, performance measurement, client reporting, asset classification, account hierarchy, and investment data governance.

  • Experience developing dashboards, exception reports, reconciliation tools, operational metrics, or analytics datasets to support investment operations and business users.

  • Familiarity with financial services controls, including audit, data lineage, access controls, SOX, AML/KYC, SEC/FINRA, and operational risk requirements.

  • Experience with Agile delivery, SDLC processes, production support, incident management, root-cause analysis, release validation, and change-management procedures.

Technical Competencies:

  • Addepar data model, platform configuration, reporting views, data imports, exports, integrations, and APIs

  • Portfolio, account, entity, ownership, holding, transaction, security master, classification, benchmark, performance, and reporting data

  • SQL, data profiling, data reconciliation, data validation, and exception management

  • Snowflake and modern enterprise data platform concepts

  • API-based integrations, file-based integrations, ETL/ELT workflows, and data pipeline support

  • Wealth and asset management workflows

  • Portfolio analytics, client reporting, performance reporting, investment operations, and financial reporting

  • Alternative investment data workflows, including Canoe or comparable platforms

  • Data governance, data quality, lineage, access controls, auditability, and operational resilience

  • Production support, incident triage, root-cause analysis, vendor escalation, release validation, and runbook documentation

  • Agile delivery, requirements analysis, user acceptance testing, change management, and technical documentation

  • Communication with investment, operations, reporting, compliance, data, technology, and vendor stakeholders

Applicants 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).

MD Salary: $132.5K–$172.5K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

MA Salary: $145.75K–$189.75K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

DC Salary: $145.75K–$189.75K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

NY Salary: $159K–$207K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

Benefits

At Brown Advisory we offer a competitive compensation package, including full benefits.
•    Medical
•    Dental
•    Vision
•    Wellness program participation incentive
•    Financial wellness program
•    Fitness event fee reimbursement
•    Gym membership discounts
•    Colleague Assistance Program
•    Telemedicine Program (for those enrolled in Medical)
•    Adoption Benefits
•    Daycare late pick-up fee reimbursement
•    Basic Life & Accidental Death & Dismemberment Insurance
•    Voluntary Life & Accidental Death & Dismemberment Insurance
•    Short Term Disability
•    Paid parental leave
•    Group Long Term Disability
•    Pet Insurance
•    401(k) (50% employer match up to IRS limit, 4 year vesting)

Brown Advisory is an Equal Employment Opportunity Employer.

Similar Jobs

14 Days Ago
Hybrid
2 Locations
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Provides Oracle-based digital finance and systems integration consulting for clients. Responsibilities include analyzing financial processes, designing and implementing business application solutions, integrating enterprise platforms, supporting NetSuite adoption, managing projects and budgets, applying agile methodologies, documenting deliverables, and maintaining stakeholder relationships. The role also provides client training, technical support, and optimization advice across financial planning, reporting, and operations.
Top Skills: AgileBoomiCeligoOracleOracle Integration CloudOracle NetsuiteSalesforceWorkatoZuora
6 Days Ago
Remote or Hybrid
US
Senior level
Senior level
Mobile • Security • Software • Cybersecurity
Build full-stack software, backend services, APIs, frontend experiences, and shared integration capabilities supporting AI initiatives across Keeper’s products. Integrate LLMs, agents, and tool-calling workflows into secure production environments while maintaining zero-knowledge principles. Troubleshoot cross-product systems, improve reliability and observability, contribute to architecture and code reviews, automate testing and CI/CD, and collaborate with AI, product, and engineering teams.
Top Skills: Ai AgentsAWSC#ChatgptCi/CdClaudeEvent-Driven ArchitectureGitGithub CopilotGoJavaJavaScriptKotlinLinuxLlm ApisMicroservicesModel Context Protocol (Mcp)PythonReactRustTypescriptWindows
7 Days Ago
In-Office
New York, NY, USA
160K-195K Annually
Senior level
160K-195K Annually
Senior level
Agency • Artificial Intelligence • HR Tech • Professional Services
Owns the design, development, and reliability of healthcare integrations connecting EHRs, clearinghouses, data warehouses, and the company platform. Builds production data pipelines for clinical, scheduling, billing, and claims data; implements observability, alerting, recovery, and incident response; partners with product on data quality; and establishes integration standards. The role requires strong Python skills, production pipeline experience, and comfort working independently in an early-stage environment.
Top Skills: AthenahealthAWSBigQueryEclinicalworksEdiElationFhirGCPHl7V2OauthPythonSmart On FhirSnowflakeX12 Edi

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account