Data Architect

Vytwo Technologies Inc

Data Architect partnering with business stakeholders and development teams to understand and fulfill data needs. Focused on designing data models, implementing strategies, and ensuring data quality in a hybrid role.

Posted 7/16/2026full-timeMinneapolis • Minnesota • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, data architecture, and database design, with a strong focus on test data management and quality engineering. Proficient in translating business requirements into data models and ensuring compliance with data privacy and regulatory standards.

Highest-signal resume keywords

Data AnalysisData ArchitectureSQL Query OptimizationTest Data ManagementAgile Delivery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingDatabase DesignData MappingData Quality ValidationData DiscoveryData MiningData IntegrationTest Data StrategiesEntity Relationship DiagramsData Pipelines

Soft Skills

Strong Communication Skills

Tools & Technologies

SQLEasytrieveAPIsMessaging QueuesBatch Jobs

Industry Keywords

Data PrivacyData ProtectionRegulatory ComplianceData GovernanceData Consumption

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Partner with business stakeholders, Product Owners, SMEs, analysts, and development teams to understand business processes, data requirements, source systems, data mappings, and data consumption needs.
Translate business requirements, processes, and rules into logical and physical data models, source-to-target mappings, and data integration specifications.
Define and implement test data strategies that support functional, regression, integration, performance, automation, and modernization testing needs.
Design and govern reusable test data patterns, test data provisioning approaches, masking strategies, synthetic data solutions, and environment refresh processes.
Demonstrate strong understanding of data modeling principles, including entities, attributes, relationships, schemas, primary and foreign keys, indexes, constraints, and overall database design.
Read, interpret, and analyze Entity Relationship Diagrams, database schemas, data dictionaries, and end-to-end data flow diagrams to identify data dependencies and business impact.
Perform data discovery, analysis, and data mining across multiple databases, tables, files, and source systems using SQL, Easytrieve, and other data query and extraction tools.
Validate data quality, integrity, consistency, and accuracy by analyzing data relationships, transformation logic, reconciliation results, and business rules across systems.
Develop an understanding of data movement and integration patterns, including real-time and batch processing, event-driven architectures, APIs, messaging queues, data pipelines, and file-based interfaces.
Collaborate with architecture, development, testing, and operational teams to support data analysis, problem resolution, impact assessments, test automation enablement, and system modernization initiatives.
Ensure test data solutions comply with data privacy, data protection, retention, classification, and regulatory requirements for sensitive customer and financial data.
Document data models, test data design patterns, source-to-target mappings, provisioning processes, standards, and best practices for repeatable enterprise use.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, Data Management, Engineering, or a related field, or equivalent practical experience.
Strong experience in data analysis, data architecture, database design, test data management, quality engineering, or software delivery.
Proficiency writing and optimizing SQL queries for data discovery, validation, reconciliation, and troubleshooting.
Experience analyzing relational databases, mainframe data structures, files, batch jobs, APIs, and downstream data consumers.
Ability to translate business rules and system behavior into clear data requirements, mappings, and test data needs.
Strong communication skills with the ability to explain complex data concepts to technical and non-technical stakeholders.
Experience working in Agile delivery environments and collaborating across product, engineering, quality, architecture, and operations teams.

Benefits

Comp & perks

Flexible work from home options