Data Architect

Job Title

Job Description

Requirements:

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, including ownership of enterprise-scale data platforms.

Strong experience designing lakehouse and/or warehouse architectures, including layered data patterns (raw → curated → consumable).

Expertise in SQL and strong proficiency with Python (and/or PySpark) for data engineering and automation.

Experience architecting data solutions on Microsoft Fabric and/or Azure (or equivalent cloud platforms), including security and operational best practices.

Proven ability to design for both real-time (streaming/event-driven) and batch pipelines, and to align architecture to operational and analytical outcomes.

Strong communication skills—able to align stakeholders, document architectures, and influence technical direction across multiple teams.

Preferred Qualifications:

Deep hands-on experience with Microsoft Fabric capabilities (OneLake, Lakehouse/Warehouse, Data Factory, Eventstream/Real-Time Analytics, semantic modeling/Power BI).

Experience with event streaming and messaging architectures (e.g., Kafka, Kinesis, Event Hubs) and patterns for CDC and near-real-time ingestion.

Experience with data governance tooling and practices (cataloging, lineage, data contracts, privacy classification, retention).

Familiarity with CI/CD and infrastructure automation (e.g., GitHub Actions/Azure DevOps, Terraform/Bicep) and environment promotion strategies.

Experience building robust observability (logging, alerting, SLAs/SLOs, data quality monitoring) for enterprise pipelines.

Background supporting large-scale Operations & Technology environments (service operations, workplace technology, infrastructure, endpoint management, identity, security, network).

Media, entertainment, or consumer technology experience—especially where reliability, scale, and cross-domain data integration are critical. Strong presentation skills, with the ability to create compelling data narratives.