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Data Architect / Solutions Architect

Work from home Full-time role Hiring

Job Title: Data Architect / Solutions ArchitectLocation: East Coast, USA – RemoteSalary: $150K–$160KExperience: 12+ YearsWork Authorization: Onshore / East Coast Time Zone

Job Description

We are seeking an experienced Data Architect / Solutions Architect with 12+ years of IT and data experience to lead enterprise legacy-to-cloud data modernization and migration initiatives. The ideal candidate will have strong hands-on expertise modernizing SAS, Alteryx, and SQL-based data pipelines into Python/PySpark solutions, designing enterprise data models and semantic layers, and architecting solutions using Microsoft Fabric.

Key Responsibilities

Lead end-to-end legacy-to-cloud data migration and modernization strategies. Convert SAS, Alteryx, and SQL workflows into scalable Python/PySpark pipelines. Design enterprise-grade data models and semantic layers for analytics, reporting, and BI. Define data architecture standards, patterns, and best practices. Collaborate with business, data engineering, and BI teams to translate legacy business logic into modern cloud-native solutions. Architect solutions using Microsoft Fabric, including Lakehouse, OneLake, Data Pipelines, and Power BI integration. Conduct architecture reviews, identify technical risks, and develop migration roadmaps. Provide technical leadership and mentorship to data engineering teams. Ensure data solutions meet governance, security, performance, scalability, and quality standards. Drive architecture decisions across large-scale enterprise modernization programs. Required Skills 12+ years of experience in data engineering, data architecture, or solutions architecture. 5+ years working in a Data/Solutions Architect capacity. Proven experience leading legacy-to-cloud data migrations. Strong hands-on experience with SAS, Alteryx, SQL, Python, and PySpark. Strong expertise in enterprise data modeling and semantic layers. Experience with dimensional modeling, star schema, and snowflake schema. Mandatory: Microsoft Fabric experience, including:Fabric Lakehouse OneLake Data Pipelines / Data Factory Fabric Analytics Power BI integration Strong understanding of cloud data platforms, preferably Microsoft Azure. Experience with ETL/ELT architecture, pipeline orchestration, and performance optimization. Strong stakeholder management and architecture communication skills. Experience with enterprise-scale data modernization programs.

Nice to Have

Microsoft Fabric or Azure Data/AI certifications. Power BI experience. Data governance and metadata management experience. Experience with enterprise BI and reporting platforms.

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