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Vice President, Senior Data Architect

New York, New York

About Baron Capital

Baron Capital is a leading asset management firm founded in 1982. We believe that hiring, retaining, and nurturing talented individuals who share our passion for excellence, integrity, and innovation is the key to our success. This means creating a welcoming, inclusive, and inspiring environment for all, as well as providing the resources and support our employees need to succeed. We take pride in our exceptionally low turnover and consider it a testament to our culture of collaboration and open communication. If you are looking for a career where you are part of a dynamic team where you can truly make a difference, we invite you to consider joining us.

About the Role

The Data Architect will lead the design and build-out of the firm’s enterprise data architecture, with a focus on creating a trusted single source of truth for an asset management organization. This role will partner with business, technology, operations, investment, compliance, and reporting stakeholders to define data standards, integrate enterprise data sources, and deliver scalable analytics and reporting capabilities.

Microsoft Fabric, Snowflake, and Power BI are required. The ideal candidate has hands-on experience designing modern data warehouse/lakehouse solutions using Microsoft Fabric and Snowflake, building governed semantic models, and implementing data governance, cataloging, lineage, and data quality practices using Microsoft Purview, Atlan, or comparable data governance tools.

Key Responsibilities

  • Define and implement the enterprise data architecture and roadmap for a modern Microsoft data platform, aligned to the firm’s business strategy and asset management data needs.
  • Design and build a single source of truth across critical domains such as security master, funds, portfolios, holdings, transactions, performance, clients, reference data, and reporting data sets.
  • Architect Microsoft Fabric solutions, including OneLake, Lakehouse, Warehouse, Data Factory pipelines, notebooks/data engineering workloads, semantic models, and Power BI reporting layers; design and integrate Snowflake data warehouse capabilities where used by the firm.
  • Lead data modeling efforts across conceptual, logical, and physical models, including dimensional, normalized, and semantic models for analytics and reporting.
  • Design scalable ingestion, transformation, validation, and orchestration patterns for internal and external data sources, including APIs, files, databases, vendor feeds, operational systems, Microsoft Fabric, and Snowflake.
  • Establish and enforce data governance standards, including data ownership, stewardship, metadata, lineage, definitions, classification, access controls, retention, and usage standards.
  • Implement data quality frameworks, profiling, validation rules, monitoring, exception management, and remediation workflows to improve trust in enterprise reporting and analytics.
  • Evaluate, implement, and administer data governance and cataloging tools such as Microsoft Purview, Atlan, or similar platforms.
  • Partner with business teams to define KPIs, reporting requirements, data definitions, and reusable Power BI semantic models that support consistent reporting across the firm.
  • Collaborate with application, infrastructure, cybersecurity, and business teams to ensure the data platform is secure, resilient, performant, compliant, and supportable.
  • Document data architecture, data flows, lineage, data dictionaries, standards, integration patterns, and operational procedures.
  • Assess current-state data platforms, databases, reports, and data processes; recommend improvements, migration paths, and modernization opportunities.

Qualifications

Required:

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field; Master’s degree preferred.
  • At least 10 years of experience in data architecture, data engineering, business intelligence, or enterprise data platform delivery.
  • 5+ years of experience in financial services; asset management, investment management, wealth management, or capital markets experience strongly preferred.
  • Hands-on experience with Microsoft Fabric, including Lakehouse/Warehouse architecture, OneLake, pipelines, data engineering, and integration patterns.
  • Hands-on Snowflake experience, including warehouse design, schemas, secure data sharing, ingestion/ELT, performance optimization, and integration with Microsoft Fabric and Power BI.
  • Strong Power BI experience, including semantic models, DAX, dataflows, governance, deployment practices, and enterprise reporting standards.
  • Strong SQL skills and experience with SQL Server or Azure SQL; ability to write, optimize, and troubleshoot complex queries and stored procedures.
  • Strong Python skills and hands on experience with visualization packages such as Plotly, Matplotlib; ability to write reusable components for reporting within the Dash framework.
  • Deep understanding of data warehousing, lakehouse architecture, data modeling, ETL/ELT, metadata management, lineage, and master/reference data management.
  • Experience implementing data governance, data catalog, lineage, and data quality capabilities using Microsoft Purview, Atlan, or comparable tools.
  • Strong understanding of data security, privacy, entitlements, role-based access, compliance, and audit requirements in a regulated environment.
  • Excellent communication skills with the ability to translate business needs into technical architecture and explain technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Experience building enterprise data platforms on Azure, including ADLS, Azure Data Factory, Azure Functions, Logic Apps, Azure DevOps, and CI/CD practices.
  • Experience with investment or asset management data, including securities, benchmarks, portfolios, holdings, trades, performance, risk, compliance, and client reporting.
  • Experience with data quality tools, MDM/reference data platforms, workflow automation, and issue management processes.
  • Experience with SSIS, SSRS, legacy SQL Server reporting, or other data warehouse platforms is helpful for migration and modernization efforts.
  • Experience with Power Apps, Power Automate, SharePoint, APIs and orchestration tools is a plus.

Knowledge, Skills, and Abilities:

  • Enterprise architecture mindset with the ability to define standards, patterns, and roadmaps while also delivering hands-on solutions.
  • Strong analytical and problem-solving skills with a focus on data trust, quality, and usability.
  • Ability to influence across business and technology teams and drive alignment on data definitions and governance decisions.
  • Strong documentation discipline, including architecture diagrams, data dictionaries, lineage, standards, and operating procedures.
  • Ability to manage multiple priorities and deliver practical, scalable solutions in a collaborative environment.

The base salary range for this position is based on skills, experience, qualifications, and internal equity. It is eligible for an annual discretionary bonus. It also participates in the Firm's 401(k) and Profit-Sharing Plan. The Firm's comprehensive benefits package includes medical, dental, and vision insurance coverage, along with short and long-term disability insurance coverage. In addition, the Firm offers paid time off programs, free corporate gym access, subsidized in-office lunch options, and various employee discounts/perks programs.

Note to third parties: Baron Capital is not seeking or accepting any unsolicited assistance from search and selection firms or employment agencies at this time.

Base Salary

$225,000 - $235,000 USD

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