Data Cloud Solution Architect - Remote / Telecommute

We are looking for Data Cloud Solution Architect - Remote / Telecommute for our client in San Jose, CA

Job Title: Data Cloud Solution Architect - Remote / Telecommute

Job Location: San Jose, CA

Job Type: Contract

Job Overview:

Pay Range $62hr - $67hr

Requirement/Must Have:

• 4-year Bachelor s degree in Computer Science.
• 7+ years of professional experience in data engineering, architecture, or enterprise analytics platforms, including at least 3+ years focused on cloud data architecture.
• Proven experience designing and implementing Azure-based data solutions, including Data Lake, Data Factory, Synapse, and Databricks.
• Strong understanding of data modeling, schema design, and metadata management within large-scale data platforms.
• Hands-on expertise with distributed data processing frameworks.

Responsibilities:

• Architect and optimize cloud-based data lakehouse and warehouse solutions that support analytics, machine learning, and enterprise integration needs.
• Define scalable and reusable data frameworks for ingestion, curation, transformation, and consumption.
• Evaluate and integrate Azure cloud services (e.g., Databricks, Data Lake, Event Hubs) to deliver high-performance data solutions.
• Implement architectural standards that ensure consistency, interoperability, security, and compliance across the data environment.
• Partner with engineering and business stakeholders to align architectural decisions with organizational objectives and KPIs.
• Drive architectural reviews, proof-of-concepts, and recommendations for future-state cloud data patterns.
• Design and operationalize metadata-driven architectures that improve discoverability, lineage tracking, and data quality monitoring.
• Collaborate with governance and engineering teams to implement active metadata approaches, enabling dynamic data cataloging and lineage visibility across pipelines.
• Define and enforce standards for metadata capture, schema management, and classification in alignment with enterprise data governance policies.
• Integrate data catalog tools and frameworks (e.g., Unity Catalog, Purview, or Collibra) with cloud ecosystems for automated metadata flow.
• Ensure consistent application of metadata structures across ingestion, transformation, and consumption layers.
• Produce detailed architecture artifacts, including data flow diagrams, system blueprints, and logical/physical data models.
• Communicate technical concepts clearly through visualization tools like Lucidchart, Visio, or Draw.io.
• Maintain robust documentation of architecture decisions, integration patterns, and system dependencies.
• Support cross-functional collaboration by sharing architecture roadmaps and data lineage documentation.
• Contribute to the design and implementation of distributed data pipelines using Databricks and Spark.
• Apply advanced optimization principles for performance, cost, and scalability across compute and storage layers.
• Troubleshoot data latency, integrity, and transform issues across multi-environment pipelines.
• Implement modernization best practices such as CI/CD automation, schema evolution management, and pipeline observability.
• Partner with DevOps and platform teams to ensure maintainability and resilience of deployed solutions.