Data Solutions Architect

Role Overview

• Define solution-level architectures with a strong focus on Azure Databricks (workspaces, compute patterns, orchestration)
• Data mesh architectures and domain-oriented data products
• Unity Catalog for governance, security, lineage, and multi-workspace
• Contribute to the architectural vision and implementation strategy for data initiatives, ensuring alignment with business goals and platform standards.
• Develop high-level architectures and guide their evolution into implementable designs, collaborating with System Architects and delivery teams.
• Identify, document, and manage cross-system dependencies, integration points, and architectural risks.
• Data ingestion, transformation, and serving in Databricks
• Data product contracts, ownership, and lifecycle management
• Security and access control using Unity Catalog, Entra ID, and cloud-native controls
• Ensure solutions align with enterprise governance, compliance, and security standards, partnering with Enterprise Architecture and platform teams.
• Contribute to the evolution of reference architectures, architectural runway, and reusable data patterns across Data Services.
• Design and execute proof-of-concepts (POCs) to validate architectural decisions, reduce delivery risk, and explore new capabilities.
• Remain hands-on where appropriate, including: Python for data engineering, notebooks, and platform automation C# and Python for service integration, APIs, and platform-facing components
• Support teams during implementation by clarifying architectural intent, reviewing designs, and unblocking complex technical challenges.
• Partner with Product Management and Business Owners to shape epics and features during envisioning and PI Planning.
• Collaborate with System Architects to ensure consistency between solution-level architecture and system-level designs.
• Guide Agile teams through architectural decisions during planning, execution, and promotion to production.
• Participate in architecture reviews, Inspect & Adapt (I&A) workshops, and ongoing solution refinement.
• Provide architectural mentorship to System Architects, Tech Leads, and senior engineers.
• Promote best practices in data architecture, data engineering, and platform design.
• Share knowledge through design reviews, technical workshops, and documentation
• Develop C4 architecture models, leveraging diagram-as-code tools such as Structurizr for C4 models and PlantUML or Mermaid for sequence diagrams.
• Contribute to High-Level Designs (HLDs) and translate them into Low-Level Designs (LLDs), including class diagrams, sequence diagrams, and data flow diagrams.
• Identify and own architectural enabler features from ideation through design and delivery.
• Define and document functional and non-functional requirements according to the final design.

Requirements

• 7+ years of professional experience in software and/or data engineering roles with demonstrated progression into solution-level technical leadership.
• 4+ years of experience designing and delivering data platforms on Azure Databricks.
• Hands-on knowledge of data mesh concepts and domain-oriented data products.
• Hands-on knowledge of Unity Catalog for security, governance, lineage, and multi-workspace patterns.
• Solid software engineering foundation using C# and Python for service integration, APIs, and platform automation.
• Experience designing solutions that span data platforms, APIs, cloud infrastructure, and downstream consumers.
• Proven ability to define solution-level architectures and guide them through delivery, including identifying dependencies and risks.
• Experience producing and consuming architectural artifacts (architecture diagrams, design narratives, C4 models, sequence diagrams).
• Strong understanding of cloud-native architectures, DevOps, operational considerations, and security/compliance alignment.
• Excellent communication skills and ability to translate complex technical concepts for diverse audiences.
• Bias toward execution with experience validating designs through POCs and hands-on delivery.
• Prior experience as a System Architect or Senior Technical Lead.
• Demonstrated progression into solution-level technical leadership.

Tech Stack

• Azure
• Cloud
• Python
• Unity

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours