Data Architect

The Data Architect is responsible for designing and managing robust, scalable data solutions that ensure data accuracy, accessibility, and security to support both internal and client-facing needs. As part of the Data Platform team, this role collaborates closely with Solution Architects to align data architecture with broader application design, and partners with data engineers to implement and optimize solutions that power analytics, integrations, and real-time processing.

Team: Data Platform, Application & Data

Reports to: Engineering Manager, Data Platform, Application & Data

Minimum Education: Bachelor’s Degree or Equivalent Experience

Recommended Tenure: 7+ years in data platform engineering or architecture roles, including at least 3 years in a hands-on architecture role

 
Role Summary:

The Data Architect is responsible for designing and managing robust, scalable data solutions that ensure data accuracy, accessibility, and security to support both internal and client-facing needs. As part of the Data Platform team, this role collaborates closely with Solution Architects to align data architecture with broader application design, and partners with data engineers to implement and optimize solutions that power analytics, integrations, and real-time processing.

Architecture & Design:

• Translate business and technical requirements into data models and architecture specifications
• Design and document data architecture artifacts, including logical/physical data models, data flow diagrams, and integration patterns
• Align data models with application architecture and system interaction patterns in partnership with Solution Architects
• Establish and maintain design patterns for relational, NoSQL, and streaming-based data solutions

Solution Delivery & Support:

• Serve as a hands-on architecture lead during project discovery, planning, and delivery phases
• Support data engineers in implementing data architecture that aligns with platform and project requirements
• Validate implementation through design reviews and provide guidance throughout the development lifecycle
• Contribute to platform evolution by defining and enforcing scalable, reusable architecture practices

Data Governance & Quality:

• Define and uphold best practices for data modeling, data security, lineage tracking, and performance tuning
• Promote consistency in metadata, naming conventions, and data access standards across environments
• Support data privacy, classification, and auditability across integrated systems

Cross-Functional Collaboration:

• Work closely with product managers, engineering leads, DevOps, and analytics teams to deliver scalable and future-proof data solutions
• Collaborate with Solution Architects to ensure integrated delivery across application and data domains
• Act as a subject matter expert on data structure, semantics, and lifecycle across key business domains

Key Competencies:

• 7+ years of experience in data engineering or data architecture roles, including 3+ years in a dedicated architecture capacity
• Proven experience in cloud platforms—preferably GCP and/or Azure—with strong familiarity with native data services
• Deep understanding of data storage paradigms including relational, NoSQL, and object storage
• Hands-on experience with databases such as Oracle and Postgres; Python proficiency preferred
• Familiarity with modern DevOps practices including infrastructure-as-code and CI/CD for data pipelines
• Strong communication skills with the ability to lead through influence across technical and non-technical audiences
• Self-starter with excellent organization and prioritization skills across multiple initiatives