Baron Capital

Baron Capital

Vice President, Senior Data Architect

New York, New York · Exec

Sponsorship not specified$225k-$235kDetected 8 days ago
PythonSQLSnowflakeAzureCI/CDDevOpsData EngineeringData ScienceData VisualizationCommunicationCollaborationProblem SolvingSharePoint

About the role

  • Establish and enforce data governance standards, including data ownership, stewardship, metadata, lineage, definitions, classification, access controls, retention, and usage standards.
  • Assess current-state data platforms, databases, reports, and data processes; recommend improvements, migration paths, and modernization opportunities.

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.
  • 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.
  • 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.

Requirements

  • At least 10 years of experience in data architecture, data engineering, business intelligence, or enterprise data platform delivery.
  • Hands-on experience with Microsoft Fabric, including Lakehouse/Warehouse architecture, OneLake, pipelines, data engineering, and integration patterns.
  • Strong SQL skills and experience with SQL Server or Azure SQL
  • 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.
  • 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.
  • Microsoft Fabric, Snowflake, and Power BI are required.
  • Required:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field
  • Master's degree preferred.
  • 5+ years of experience in financial services
  • asset management, investment management, wealth management, or capital markets experience strongly preferred.
  • 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.
  • ability to write, optimize, and troubleshoot complex queries and stored procedures.
  • Deep understanding of data warehousing, lakehouse architecture, data modeling, ETL/ELT, metadata management, lineage, and master/reference data management.

Nice to have

  • 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:
  • 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.

Skills

  • 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.
  • Strong documentation discipline, including architecture diagrams, data dictionaries, lineage, standards, and operating procedures.

Compensation

  • $225,000 - $235,000 USD
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This listing is sourced directly from Baron Capital's careers page and normalized into a canonical job model.