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Bi Data Architect Jobs (NOW HIRING)

carnegie

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 ...

Carnegie Hall

BI Data Architect

New York, NY · On-site

$140K/yr

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 ...

Hireblazer

BI Data Architect (Data Modeling)

Austin, TX · Remote

$80 - $100/hr

Data Architect (BI / Data Modeling / Power BI) Location: Austin, TX (Remote for Anywhere in Texas) Duration: 3 Years Must have : Oil & Gas Industry Primary Skills: Data Architecture, Data Modeling ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

Role: Data / BI Architect Location: Pontiac, MI Duration: 12Months + About role: Data Business Intelligence (BI) Architect role is a hybrid of data architecture, engineering & business strategy ...

NAVA Software Solutions

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Azure Data Architect Location: Atlanta GA - Hybrid / Remote also ok Duration: 6-12 months * 10+ ... Data Services like Azure analytics, BI, Data consumption Experience with relational, graph and/or ...

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How much do bi data architect jobs pay per year?

As of May 29, 2026, the average yearly pay for bi data architect in the United States is $132,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $146,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a BI Data Architect, and why are they important?

To thrive as a BI Data Architect, you need expertise in data modeling, database design, and business intelligence concepts, usually supported by a degree in computer science or a related field. Proficiency with tools like SQL, ETL platforms, data warehousing solutions (e.g., Snowflake, Redshift), and BI software (such as Tableau or Power BI), along with relevant certifications, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with stakeholders and translate business requirements into technical solutions. These competencies are crucial for designing scalable, efficient data architectures that support informed decision-making and organizational goals.

What are some common challenges BI Data Architects face when integrating data from multiple sources?

BI Data Architects often encounter challenges related to data consistency, quality, and compatibility when integrating information from various systems. Different source systems may have unique data formats, structures, and definitions, which require careful mapping and transformation. Ensuring that data remains accurate and up-to-date during extraction, transformation, and loading (ETL) processes is crucial. Additionally, collaborating closely with both business stakeholders and technical teams is essential to align data models with business needs and maintain governance standards.

What is a BI Data Architect?

A BI Data Architect is a professional responsible for designing, building, and maintaining the data infrastructure that supports business intelligence (BI) systems. They create data models, develop data integration processes, and ensure data is organized and accessible for analysis and reporting. Their work helps organizations turn raw data into actionable insights, supporting better decision-making. BI Data Architects collaborate with stakeholders, analysts, and IT teams to align data solutions with business goals.

Are data architects in high demand?

Data architects are in high demand due to the increasing need for organizations to manage large volumes of data and develop scalable data systems. They often require expertise in database design, cloud platforms, and data modeling, making their skills highly sought after across various industries.

How much money do data architects make?

Data architects typically earn a median annual salary of around $100,000 to $150,000, depending on experience, location, and industry. Professionals with advanced skills in data modeling, cloud platforms, and database management may earn higher salaries, especially in competitive markets or with specialized certifications.

What is the difference between Bi Data Architect vs Data Engineer?

AspectBi Data ArchitectData Engineer
CredentialsTypically requires a degree in computer science, data management, or related fields; certifications like Microsoft Certified: Data Analyst Associate are common.Similar credentials, often with certifications in cloud platforms (AWS, Azure) and data processing tools.
Work EnvironmentDesigns data architecture for BI solutions, collaborates with data analysts and BI teams.Builds and maintains data pipelines, works closely with data scientists and analysts.
Industry UsageUsed in organizations focusing on business intelligence, reporting, and analytics.Common in companies developing data infrastructure, ETL processes, and data warehousing.

The Bi Data Architect and Data Engineer roles share overlapping skills in data management and architecture. While the Bi Data Architect focuses on designing data systems for BI and analytics, the Data Engineer builds and maintains the data pipelines that support these systems. Both roles are essential in data-driven organizations and often collaborate to ensure efficient data flow and analysis.

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Bi Data Architect jobs near you
Infographic showing various Bi Data Architect job openings in the United States as of May 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 52% Physical, 38% Hybrid, and 10% Remote job distribution, with an average salary of $132,713 per year, or $63.8 per hour.
BI Data Architect

BI Data Architect

carnegie

Other

Posted 22 days ago

Job description

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 data inventories, ingestion, ETL/ELT processes, and warehouse/data lake design.
  • Establish and enforce robust data governance standards for storage, consumption, integration, and management; translate these principles into scalable, functional data models aligned with organizational objectives.
  • Implement systems and monitoring to ensure data quality, accuracy, performance, and security.
  • Develop data governance schema, documentation and policies that meet business standards.
·         Analytics & Visualization
    • Champion the use of Microsoft Fabric and Power BI for 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
    • Manage API governance to deliver reliable integrations.
    • Drive adoption of API-first architecture to 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 in data architecture
·         Technical Expertise
    • Experience with Azure Data Factory, Azure Data Lake Storage, and Azure Storage Explorer for orchestration and data management.
    • Knowledge of Azure API Management for API lifecycle governance, security, and versioning during migrations.
    • Expertise in Power BI for enterprise reporting and integration with governed data models.
    • Expertise with Microsoft Fabric for unified analytics and orchestration of data pipelines.
    • Advanced knowledge of T-SQL and Azure
    • Programming skills in Python (and optionally JavaScript and C#) for data engineering and automation.
    • Expertise with SSRS, Power BI, and modern data reporting tools.
·         Additional Skills
    • Strong understanding of data 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 inoffice start, with eligibility for a hybrid schedule at the manager’s discretion after the first three months.

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