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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Vice President, Senior Data Architect - **Company:** BARON CAPITAL PARTNERS, LTD. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $225,000.0 - $235,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Big Data, Profiling, Information Systems, Databases, Continuous Integration, Data Architecture, Data Cleansing, Data Dictionary, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Warehousing, Database Queries, Document-Oriented Databases, Python (Programming Language), Microsoft Data Access Components, Meta-Data Management, Microsoft SQL Server, SQL Azure, Performance Tuning, Reference Data, Power BI, Microsoft SharePoint, SQL Stored Procedures, SQL Server Reporting Services, SQL Server Integration Services, Data Streaming, Workflow Management Systems, Enterprise Data Management, Microsoft Power Automate, Azure Data Factory, Snowflake, Matplotlib, Build Management, Microsoft Fabric, Information Technology, Collibra, Plotly, Operational Systems, Data Management, Serverless Computing, Powerapps - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d3f88abf24f6dea8 ## About the Role 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. ## Description 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., * 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. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023)