GenRocket Synthetic Test Data SME/Engineers

SANS Consulting Services, Inc.; Milwaukee (WI); On-site; USD 90,000 - 130,000; Full time

Job summary

SANS Consulting Services, Inc. seeks a GenRocket Synthetic Test Data SME/Engineer to establish and operationalize an enterprise synthetic test data capability.

You will collaborate with enterprise, application, and data teams to translate source data structures, schemas, relationships, and business rules into reusable GenRocket data models. You will configure GenRocket scenarios to generate realistic, referentially consistent data and develop reusable templates, supporting CI/CD integrations.

Qualifications

• Experience with GenRocket platform and synthetic data generation.
• Strong SQL/RDBMS skills.
• Knowledge of data privacy/PII concepts.

Responsibilities

• Establish and operationalize an enterprise synthetic test data capability.
• Collaborate with enterprise, application, and data teams to understand data structures, schemas, relationships, and business rules.
• Configure and develop GenRocket scenarios to generate realistic, referentially consistent test data and reusable templates.
• Support integration with test automation and CI/CD pipelines.
• Leverage GenAI/LLMs for data discovery, schema analysis, and validation, and onboard application teams.

Skills

GenRocket

Synthetic Test Data Generation

Test Data Management

Data Modeling

SQL/RDBMS

Schema & Relationship Analysis

Python

GenAI/LLMs

Prompt Engineering and AI-assisted

API/File-based Data Structures

CI/CD Integration

Data Privacy/PII concepts

Stakeholder collaboration

Job description

GenRocket Synthetic Test Data SME/Engineers to establish and operationalize an enterprise synthetic test data generation capability. The resources will collaborate with enterprise, application, and data teams to understand source data structures, schemas, relationships, business rules, constraints, and data dependencies, and translate them into reusable data models consumable by GenRocket. The role will configure and develop GenRocket scenarios to generate realistic and referentially consistent test data, establish reusable templates and standards, and support integration with test automation and CI/CD pipelines. Resources will also leverage GenAI/AI-assisted techniques for data discovery, schema and relationship analysis, data-model generation, test-data scenario creation, and validation, while supporting application teams with onboarding and adoption.

Key Skills: GenRocket, Synthetic Test Data Generation, Test Data Management, Data Modeling, SQL/RDBMS, Schema & Relationship Analysis, Python, GenAI/LLMs, Prompt Engineering and AI-assisted Data Engineering, API/File-based Data Structures, CI/CD Integration, Data Privacy/PII concepts, and stakeholder collaboration.