Data Architect

Frontier Technology LLC dba MicroAge•Washington, NV

1d•Hybrid

About The Position

We are hiring for a Data Architect/Consultant! You will serve as a subject matter expert (SME) across Microsoft Fabric and Azure data platform technologies, supporting both client solutions and MicroAge’s internal data architecture needs. This role blends strategic advisory with hands-on technical execution. You’ll guide platform design, contribute to solution planning, and ensure the development of secure, scalable, and compliant data systems. You’ll work closely with business stakeholders, engineers, and consultants to translate requirements into practical, cloud-native data architectures that align with modern analytics practices.

Requirements

5+ years of experience in Azure data architecture, analytics engineering, or solution development
Expertise in Microsoft Fabric, Synapse, Data Factory, Databricks, and Power BI
Proficiency in SQL, Python, and PySpark for data modeling and transformation
Proven ability to act as a technical SME in both client and internal settings
Strong communication and collaboration skills across cross-functional teams
Data Modeling and ETL Design
Big Data Technologies: Experience with Hadoop, Kafka, and Spark
Cloud Platforms: Familiarity with Azure, AWS, GCP, Snowflake, DynamoDB, Redshift, and Big Query
Database Technologies: Proficiency in both SQL and NoSQL databases, including PostgreSQL, MySQL, and MongoDB
Data Governance and Security: Understanding of best practices and compliance standards

Nice To Haves

Microsoft Fabric Analytics Engineer Associate
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure Data Scientist Associate

Responsibilities

Design and recommend modern data platforms using Microsoft Fabric, following architecture principles (i.e Medallion).
Translate business and technical requirements into scalable architectural blueprints and working solutions.
Contribute to reference implementations and evaluations of design patterns for client and internal use.
Act as a technical SME during solution planning, helping shape client proposals and responding to RFPs/SOWs.
Support internal solution reviews and provide input on architecture decisions for MicroAge initiatives.
Participate in technical discovery to assess needs, define approach, and advise on platform readiness.
Delivery lead in the configuration and development of analytics platforms, including ingestion, transformation, and modeling layers.
Support pipeline development using Azure Data Factory, Synapse Pipelines, Fabric Dataflows, and Databricks (PySpark).
Guide implementation of dimensional, canonical, and Data Vault models to meet analytics use cases.
Provide expertise on CI/CD setup using Azure DevOps or GitHub Actions to automate deployment processes.
Advise on environment management, versioning, and deployment strategy for Fabric-based solutions.
Support the design of secure architectures that incorporate RBAC, encryption, and data protection controls.
Ensure internal and client solutions align with compliance standards such as HIPAA, GDPR, and contractual policies.
Recommend MDM approaches including golden record design, data survivorship, and stewardship workflows.
Design scalable data quality frameworks integrated with transformation pipelines and monitoring practices.
Advocate for DataOps principles, including automated validation, environment consistency, and iterative enhancement.
Contribute to repeatable architectures and modular design patterns that promote agility and reuse.
Analyze and tune SQL and Spark-based workloads for performance and cost-efficiency.
Recommend capacity-aware configurations, workload isolation techniques, and storage optimization patterns.
Provide guidance on Power BI dataset modeling, DAX development, and data visualization best practices.
Ensure analytical outputs are aligned to business needs and promote self-service capabilities.
Act as a Fabric and Azure data platform expert for MicroAge’s internal delivery efforts and platform evolution.
Support internal project teams by providing architectural guidance and answering technical questions.
Document reusable patterns, best practices, and platform reference materials to support knowledge sharing.