Tableau Data Architect

buyersedgeplatformrecruiting; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Job summary

Buyers Edge Platform is seeking a Tableau Data Architect to design scalable, governed Tableau data models powering our enterprise analytics ecosystem. The role partners with data engineering and analytics to deliver trusted reporting at scale, leveraging Tableau Cloud, Next, and AI-powered features.

You will own data governance, semantic modeling, performance tuning, and integration with upstream systems, guiding BI developers and stakeholders to a single source of truth.

Qualifications

• 4+ years in business intelligence, data architecture, or analytics engineering.
• 3+ years focused on Tableau.
• Expert-level proficiency in Tableau Cloud including site administration, performance tuning, governance, and LOD expressions.
• Experience with Tableau Next AI features (Pulse, Copilot).

Responsibilities

• Own the enterprise data governance framework within Tableau Cloud, including lineage tracking and data quality warnings.
• Design semantic data models to support Tableau Next AI features and ensure trusted metrics.
• Develop optimized semantic layers and certified data sources for dashboards and analytics.
• Tune dashboards, SQL, and indexing for performance improvements.
• Integrate Tableau Cloud with upstream systems and monitor data pipelines; automate refreshes and governance tooling.
• Lead BI developers and analysts, translating KPIs into technical solutions and best practices.

Skills

Tableau

Data governance

Analytics engineering

Tools

Tableau Cloud

SQL

Job description

We're seeking a Tableau Data Architect to design and optimize the data architecture that powers our enterprise analytics ecosystem. This role is responsible for architecting scalable, governed, and high-performing Tableau data models that enable actionable insights across our business. You'll partner closely with data engineering, analytics, and business stakeholders to ensure that our Tableau Cloud environment delivers consistent, trusted, and performant reporting and analytics at scale including leveraging the full capabilities of Tableau Next and its AI-powered features.

This is a hands-on, strategic role for someone who can bridge the gap between data engineering and business intelligence strategy building systems that empower both analysts and executives.

Who we are:

Buyers Edge Platform is a leading digital procurement network and solutions provider for the foodservice industry, delivering savings, insights, and technology that help operators, distributors, and manufacturers succeed. Through its portfolio of solutions-including Digital Procurement Network, Fresh Services, Software Solutions, and Supply Chain Management-Buyers Edge is reshaping how the foodservice industry connects and thrives. At the heart of our work is a culture built on a passion for collaboration, technology, and helping foodservice business succeed.

This position may require frequent in person work. We are unable to offer sponsorship for this role.

Your impact:

Data Governance & Quality

Own the enterprise data governance framework within Tableau Cloud, including data source certification workflows, Tableau Catalog configuration (lineage tracking, data quality warnings, sensitivity labels), metric governance via Tableau Pulse, and enforcement of naming conventions, access controls, and content promotion policies.

Implement and manage row-level security, object-level security, and Virtual Connection-level entitlements to centralize and enforce data access controls.

Leverage the Platform Data API to build automated audit trails, activity monitoring pipelines, and compliance dashboards for ongoing governance observability.

Partner with BI to maintain a single source of truth for KPIs and metrics across the organization.

Tableau Next & AI-Ready Architecture

Lead the design and governance of the semantic data model to support Tableau Next AI features, including Tableau Pulse and Einstein Copilot, ensuring metric definitions are trusted, consistent, and AI-ready.

Own Tableau Pulse metric definitions - defining, certifying, and deprecating official metrics organization-wide.

Guide governance and quality standards for AI-generated content to ensure outputs align with the organization's trusted data standards.

Architect and Design Tableau Data Models

Develop optimized semantic layers and certified data sources for Tableau dashboards and analytics.

Implement best practices for star schema design, LOD calculations, and data blending.

Design and manage Virtual Connections and published data sources to centralize data access and enforce governance at the connection layer.

Performance Optimization

Diagnose and tune underperforming dashboards using Tableau Performance Recorder, database query analysis, and Admin Insights dashboards for site-wide performance monitoring.

Work closely with engineering to optimize SQL, indexing, and extract strategies.

Integration, Automation and Pipeline Monitoring

Collaborate with other departments to integrate Tableau Cloud with upstream systems (e.g., Salesforce, Redshift).

Partner closely with Data Engineering to monitor data pipeline health, implement validation checks across databases and Tableau data sources, and proactively identify syncing issues or failures before they impact downstream reporting.

Drive transparency across data source connections by communicating pipeline issues, failures, and potential downstream effects to impacted stakeholders in a timely manner

Automate extract refreshes, data source updates, and quality monitoring.

Utilize the Tableau REST API and Metadata API for governance automation, bulk permission management, content migration, lineage auditing, and user provisioning.

Utilize the VizQL Data Service to expose governed published data sources to downstream applications and automated workflows.

Leverage the Platform Data API for activity monitoring, audit log ingestion, and governance reporting.

Leadership & Enablement

Guide BI developers and analysts on Tableau best practices and reusable data design.

Partner with business stakeholders to translate KPIs and reporting needs into technical solutions.

Help define and evolve the company's enterprise BI strategy.

About you:

4+ years of experience in business intelligence, data architecture, or analytics engineering, with at least 3 years focused on Tableau.

Expert-level proficiency in Tableau Cloud, including site administration, performance tuning, governance, and LOD expressions.

Deep experience wit