Senior Data Platform Architect

BallenIsles Country Club•Phoenix, AZ

13h•Onsite

About The Position

The Senior Data Platform Architect defines and governs the architecture of the enterprise analytics platform across Azure and Microsoft Fabric, ensuring scalable, secure, and integrated data solutions. Establishes standards for data ingestion, transformation, storage, and consumption across medallion architecture layers, enabling consistent and high-quality data delivery. Acts as the technical authority aligning data engineering, analytics, and application development with platform strategy and best practices.

Requirements

8+ years of experience in data engineering, data architecture, or platform engineering
3+ years designing and implementing cloud-based data platforms (Azure preferred)
Proven experience defining and governing enterprise data architecture
Deep expertise in Azure data services (Data Factory, Synapse, Data Lake, etc.)
Strong understanding of Microsoft Fabric architecture and components
Expertise in data architecture patterns (lakehouse, medallion, dimensional modeling)
Strong knowledge of data integration, ETL/ELT, and pipeline design
Understanding of distributed data processing (e.g., Spark, Databricks)
Experience designing secure, scalable, and high-performance data systems
Strong ability to translate business requirements into technical architecture
Excellent communication and stakeholder alignment skills
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
Equivalent combination of education and experience may be considered

Nice To Haves

Experience with Microsoft Fabric and lakehouse architectures
Experience implementing medallion architecture (bronze/silver/gold) at scale
Experience integrating multiple enterprise systems (CRM, ERP, SaaS platforms)
Experience supporting analytics, BI, and data-driven applications
Experience with Delta Lake and Direct Lake performance optimization
Knowledge of data governance tools and frameworks
Familiarity with DevOps and CI/CD practices for data platforms
Experience with API-based integrations and event-driven architectures
Understanding of AI/ML data pipelines and feature engineering workflows

Responsibilities

Define and maintain the end-to-end architecture for the analytics platform across Azure and Microsoft Fabric
Establish architectural standards for data ingestion, transformation, storage, and consumption across bronze, silver, and gold layers
Design integration patterns between source systems, data platform, analytics tools, and downstream applications
Lead architecture decisions for Azure services (e.g., Data Factory, Synapse, Data Lake, Databricks) and Fabric components
Ensure interoperability and alignment between Azure-native services and Microsoft Fabric capabilities (e.g., OneLake, Direct Lake, semantic models)
Define and enforce data modeling standards, including dimensional modeling and lakehouse design principles
Establish best practices for performance optimization, scalability, cost management, and reliability
Design and oversee implementation of data governance frameworks, including data quality, lineage, cataloging, and security
Collaborate with data engineers, analysts, and application developers to ensure architectural alignment and solution consistency
Evaluate and recommend new technologies, tools, and patterns to evolve the data platform
Provide technical leadership and mentorship to engineering teams
Participate in design reviews and ensure adherence to architectural standards
Support strategic initiatives by translating business requirements into scalable technical architectures