What are the responsibilities and job description for the Data Architect (Microsoft Fabric) Onsite position at Pacific Consultancy Services?
Role: Data Architect
Location: Atlanta, GA (Hybrid)
Overview:
Service & Configuration Data Architecture
•Define the target-state architecture for service and configuration data, including class design, relationship patterns, ownership structures, and lifecycle alignment.
•Establish modeling principles that support service-aware visibility, operational usefulness, and long-term maintainability.
•Guide architectural decisions that reduce ambiguity and improve consistency across the service data fabric.
Data Standards, Governance & Design Guardrails
•Create architectural guardrails for how service and configuration data should be structured, governed, and evolved.
•Define standards that prevent model drift, uncontrolled variance, and low-confidence design decisions.
•Partner with governance and engineering teams to translate standards into enforceable processes and platform controls.
Reconciliation & Source-of-Truth Architecture
•Design the principles and patterns used to reconcile data from multiple authoritative and contributing systems.
•Define rules for ownership, precedence, survivorship, and appropriate use of source data within the model.
•Support architectural decisions that improve confidence in how data is merged, maintained, and trusted over time.
Cross-Functional DataEnablement
•Work with service mapping, platform engineering, integration, and governance stakeholders to ensure the data model supports downstream operational and analytical use cases.
•Resolve architectural questions that affect service visibility, dependency understanding, and automation readiness.
Basic Qualifications:
5 years’ experience in data architectureor enterprise information modeling roles.
Deep understanding of service and configuration data models, lifecycle governance, and architectural standards.
Strong ability to define target-state structures, governance patterns, and reconciliation approaches in complex environments.
Proven ability to translate business and operational needs into durable data architecture decisions.
Bachelor’s Degree preferred
Familiarity with discovery, monitoring, asset, and operational data sources that contribute to service understanding.
Background in highly regulated or operationally complex environments.
Relevant data, architecture, or platform certifications.
Location: Atlanta, GA (Hybrid)
Overview:
Service & Configuration Data Architecture
•Define the target-state architecture for service and configuration data, including class design, relationship patterns, ownership structures, and lifecycle alignment.
•Establish modeling principles that support service-aware visibility, operational usefulness, and long-term maintainability.
•Guide architectural decisions that reduce ambiguity and improve consistency across the service data fabric.
Data Standards, Governance & Design Guardrails
•Create architectural guardrails for how service and configuration data should be structured, governed, and evolved.
•Define standards that prevent model drift, uncontrolled variance, and low-confidence design decisions.
•Partner with governance and engineering teams to translate standards into enforceable processes and platform controls.
Reconciliation & Source-of-Truth Architecture
•Design the principles and patterns used to reconcile data from multiple authoritative and contributing systems.
•Define rules for ownership, precedence, survivorship, and appropriate use of source data within the model.
•Support architectural decisions that improve confidence in how data is merged, maintained, and trusted over time.
Cross-Functional Data
•Work with service mapping, platform engineering, integration, and governance stakeholders to ensure the data model supports downstream operational and analytical use cases.
•Resolve architectural questions that affect service visibility, dependency understanding, and automation readiness.
Basic Qualifications:
5 years’ experience in data architectureor enterprise information modeling roles.
Deep understanding of service and configuration data models, lifecycle governance, and architectural standards.
Strong ability to define target-state structures, governance patterns, and reconciliation approaches in complex environments.
Proven ability to translate business and operational needs into durable data architecture decisions.
Bachelor’s Degree preferred
Familiarity with discovery, monitoring, asset, and operational data sources that contribute to service understanding.
Background in highly regulated or operationally complex environments.
Relevant data, architecture, or platform certifications.