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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.
Job Responsibility:
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
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
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
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
Requirements:
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