Reporting & Data Architect Lead

Deploy•Birmingham, AL

13d

About The Position

DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing. You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports. At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.

Requirements

Deep hands-on expertise with Power BI , Microsoft Fabric , data modeling, and cloud data platforms.
Track record of establishing and enforcing enterprise reporting standards and governance.
Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
Able to operate as both an individual contributor and a strategic leader.
Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
Comfortable influencing architectural decisions and guiding technical execution.
Strong command of foundational tools and languages such as: DAX Power Query / M SQL Fabric pipelines / ETL tooling
Experience with automation and AI-assisted analytics workflows.

Responsibilities

Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions— Responsible , with the Director of Technology Accountable .
Manage reporting governance artifacts including certified datasets , endorsed reports , and enterprise workspace standards.
Support reporting scalability as our client grows (new factories, new business units, new product lines).
Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
Review and approve reporting change requests, data model modifications, and access requests.
Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.
Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
Build and govern the centralized semantic model that powers reporting across the company.
Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.
Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
Communicate complex architectural concepts in clear, business-friendly terms.
Lead cross-functional initiatives that require unified data structures or scalable reporting.
Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.