Data Architect

OPENDataJobs

. Shape how the organization represents, connects, governs, and uses data across systems .

Posted 10/17/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data modeling, schema design, and architecture decision-making while ensuring data integrity and governance across systems. Proficient in evaluating architecture choices based on security, performance, and scalability requirements.

Highest-signal resume keywords

Data ModelingSchema DesignIntegration PatternsArchitecture Decision RecordsSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSchema DesignNormalizationDimensional ModelingRelational DatabasesData QualityData GovernanceArchitecture EvaluationMetadata ManagementData Contracts

Soft Skills

Clear CommunicationJudgmentCollaboration

Tools & Technologies

Cloud PlatformsModeling ToolsData LakesData WarehousesLakehouses

Industry Keywords

Data ArchitectureEvent-Driven ArchitectureMaster Data DisciplineGoverned AccessData Lineage

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Shape how the organization represents, connects, governs, and uses data across systems
Translate business processes, information needs, and technical constraints into conceptual, logical, and physical models
Assess fragmented current states and define target architectures
Establish integration and access patterns and determine where standardization matters
Design data architectures accounting for data shape, access patterns, scale, consistency, security, resilience, cost, and migration realities
Work with data engineers, database developers, database administrators, security teams, software engineers, analysts, and business stakeholders
Make architecture tradeoffs visible and preserve traceability from requirements to implementation
Help teams evolve data estates without losing integrity or control
Build data models for operational and analytical systems
Develop target-state architectures for warehouses, lakes, lakehouses, relational databases, and specialized stores
Define canonical models, integration patterns, data contracts, naming standards, and schema conventions
Produce architecture decision records, transition roadmaps, and current-state or future-state diagrams
Create governance-aware designs for metadata, lineage, access, retention, quality, and lifecycle management

Requirements

What you’ll need

Experience with data modeling, schema design, normalization, dimensional modeling, and model evolution
Judgment across relational, analytical, document, graph, key-value, and vector-capable data stores
Understanding of integration patterns, data contracts, metadata, lineage, data quality, and governed access
Ability to evaluate architecture choices against security, resilience, performance, scalability, cost, and migration risk
Clear visual, written, and verbal communication across engineering, security, product, and business teams
Openings may require a particular cloud platform, modeling tool, industry data standard, master data discipline, event-driven architecture, or modernization program
Some roles may require hands-on SQL, infrastructure review, or experience guiding implementation across several delivery teams
AI programs may require governed knowledge stores, vector-capable retrieval, model-access data boundaries, provenance, or auditability

Benefits

Comp & perks

Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening.