BI Data Architect
- Data Architecture
- ETL
- ELT
- Microsoft Fabric
- Power BI
- Data Visualization
- AI
- Machine Learning
- Azure Data Factory
- Azure
- T-SQL
- Python
- JavaScript
- C#
- SSRS
Department:Business Intelligence
Title of Position: BI Data Architect
Reports to Position: Director, BI & Web Development
SUMMARY OF ROLE
The BI Data Architect is a strategic leadership role responsible for architecting and advancing Carnegie Hall’s data ecosystem. This position ensures that data is a trusted, governed asset for decision-making across the organization, driving innovation and empowering business users.
The role oversees the design, deployment, and management of the department’s data infrastructure and integrations to support current and future initiatives. It requires exceptional technical expertise, analytical thinking, and experience navigating complex organizational structures, combined with strong communication skills to foster collaboration across stakeholder groups.
PRIMARY RESPONSIBILITIES & DUTIES:
Data Architecture & Governance
- Design, deploy, and manage the department’s data architecture, including datainventories, ingestion, ETL/ELT processes, and warehouse/data lake design.
- Establish and enforce robustdata governance standardsfor storage, consumption, integration, and management; translate these principles into scalable, functional data models aligned with organizational objectives.
- Implement systems and monitoring to ensuredata quality, accuracy, performance, and security.
- Develop data governance schema, documentation and policies that meet business standards.
· Analytics & Visualization
- Champion the use ofMicrosoft FabricandPower BIfor unified analytics, reporting, and self-service BI.
- Focus on designing, building, and managing data pipelines and lakehouses using Microsoft Fabric's tools (Pipelines, Dataflows, Notebooks) to move data through Bronze (raw ingestion), Silver (cleaned/enriched), and Gold (curated for BI/analytics) layers.
- Collaborate with analysts to translate data architecture into end-user dashboards and provide technical oversight to ensure adherence to governance standards.
· Integration & API Management
- ManageAPI governanceto deliver reliable integrations.
- Drive adoption ofAPI-first architectureto support scalability and modernization.
· Strategic Leadership
- Contribute to the roadmap for architecture changes and future initiatives, aligning with organizational goals.
- Evaluate existing data and analytics stack for best practices, security, and performance; recommend improvements.
- Provide mentorship and technical leadership to staff on data architecture, integration, and pipelines.
· Innovation & Continuous Improvement
- Explore emerging tools and technologies to enhance data visualization, integration, and analytics capabilities.
- Support reactive stakeholder incidents and ensure timely resolution.
- Promote self-service enablement for business users.
- Knowledge and curiosity around AI enablement, including an understanding of how data architecture, governance, and data quality directly support machine learning and generative AI use cases
REQUIREMENTS & QUALIFICATIONS:
· Education & Experience
- Bachelor’s degree or equivalent work experience.
- 5–10 years of experience indata architecture
· Technical Expertise
- Experience withAzure Data Factory,Azure Data Lake Storage, andAzure Storage Explorerfor orchestration and data management.
- Knowledge ofAzure API Managementfor API lifecycle governance, security, and versioning during migrations.
- Expertise inPower BIfor enterprise reporting and integration with governed data models.
- Expertise withMicrosoft Fabricfor unified analytics and orchestration of data pipelines.
- Advanced knowledge ofT-SQLandAzure
- Programming skills inPython(and optionallyJavaScript and C#) for data engineering and automation.
- Expertise withSSRS,Power BI, and modern data reporting tools.
· Additional Skills
- Strong understanding ofdata governance,security, and compliance frameworks.
- Excellent communication and stakeholder engagement skills.
- Ability to mentor technical teams while driving strategic initiatives.
This is not a remote position. The role requires an in‑office start, with eligibility for a hybrid schedule at the manager’s discretion after the first three months.
BI Data Architect · Carnegie Hall