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Senior Data Engineer, Analyst
Brown AdvisorySenior Addepar Data Engineer / Analyst advancing Brown Advisory's Wealth and Asset Management data capabilities. Focus on data engineering, analytics, and integration support with downstream reporting.
Posted 6/26/2026full-timeBaltimore • Maryland, Massachusetts, New York, Washington • 🇺🇸 United StatesSenior💰 $132,500 - $207,000 per yearWebsite
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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 with the Addepar platform in a wealth management, asset management, family office, investment advisory, or financial services environment.
- 5+ years of experience in data engineering, data analysis, investment operations technology, financial systems support, platform analytics, or enterprise data operations.
- Strong understanding of the Addepar data model, including accounts, entities, ownership structures, portfolios, holdings, transactions, securities, classifications, attributes, benchmarks, performance, and reporting views.
- Experience supporting Addepar data imports, exports, data feeds, integrations, reconciliation processes, and platform configuration.
- 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 Brown Advisory’s Baltimore office three days per week.
Benefits
Comp & perks- 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)
ATS Keywords
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Hard Skills & Tools
AddeparSQLdata engineeringdata analysisdata integrationdata quality controldata profilingdata modelingdata normalizationdata transformation
Soft Skills
analytical skillsproblem-solvingcommunicationdocumentationstakeholder managementorganizational skillscollaborationattention to detailadaptabilitytime management