Data Architect (Remote)

An enterprise technology organization is seeking a Data Architect to help shape a centralized, scalable data ecosystem. This remote role offers the opportunity to lead Microsoft Fabric architecture, real-time and batch data platform design, and enterprise data governance across a complex environment.  About the

Opportunity:

Schedule:

Monday through

Friday Hours:

Standard business

Setting:

Remote Responsibilities:

Lead the architecture strategy for a centralized data platform built on Microsoft Fabric Design lakehouse and warehouse patterns that support curated, scalable, and reusable data assets Architect real-time and batch data pipelines across APIs, databases, files, SaaS platforms, and event streams Define data modeling, semantic layer, governance, and quality standards for enterprise use cases Partner with engineering, security, analytics, and business stakeholders to translate needs into technical roadmaps and solutions

Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience 6+ years of experience in data engineering and/or data architecture roles with ownership of enterprise-scale data platforms Strong experience designing lakehouse and/or warehouse architectures with layered data patterns Expertise in SQL and Python and/or PySpark Experience architecting data solutions on Microsoft Fabric and/or Azure or equivalent cloud platforms Experience designing both real-time and batch pipelines Strong communication skills with the ability to document architectures and influence technical direction across teams

Desired Skills:

Hands-on experience with Microsoft Fabric capabilities such as OneLake, Lakehouse/Warehouse, Data Factory, Eventstream, Real-Time Analytics, and semantic modeling Experience with event streaming and messaging architectures such as Kafka, Kinesis, or Event Hubs Knowledge of CI/CD and infrastructure automation tools such as GitHub Actions, Azure DevOps, Terraform, or Bicep Experience with observability practices including logging, alerting, SLAs/SLOs, and data quality monitoring Background supporting large-scale operations and technology environments Experience in media, entertainment, or consumer technology environments Strong presentation skills and the ability to create compelling data narratives