Test Architect (Data Migration & Snowflake)

DAY 1 ONSITE OPPORTUNITY

Responsibilities:

• Architecture-Led, Data-Centric Automation Design - We need someone who can design the blueprint, not just build within one.
• CI/CD Integration for Data and Analytics Testing
• Strong Data Quality & Reconciliation Expertise ability to validate cloud-native, event-driven pipelines or generate audit-ready evidence for regulatory compliance .
• Toolchain and Interoperability Mastery - Snowflake.
• Pragmatic Leadership & Enablement - demonstrate architect-level strategic thinking — Automation phasing, guardrails, or maturity roadmaps

Role Overview

• We are seeking a strategic and highly technical Test Architect to lead the quality engineering efforts for a large-scale data migration project to Snowflake.
• You will be responsible for designing a robust, multi-tool automation framework that ensures data integrity, performance, and seamless business process continuity.
• As the Architect, you will orchestrate the integration of Tricentis Tosca, UFT, and Python to validate complex ETL pipelines and cloud data warehouse architectures.

Key Responsibilities

• Strategic Framework Design: Define and implement a hybrid automation strategy using Tosca for model-based UI/API testing, UFT for legacy system integration, and Python for high-volume data validation.
• Snowflake Validation: Develop custom Python-based utilities and libraries to perform automated source-to-target reconciliation, schema validation, and data quality checks within Snowflake.
• End-to-End Orchestration: Lead the design of automated workflows that bridge the gap between legacy on-premises systems and modern cloud data environments.
• CI/CD Integration: Embed automated testing suites into the DevOps pipeline to enable continuous testing for ETL jobs and data transformations.
• Technical Leadership: Provide architectural governance, conduct code reviews for Python scripts, and establish best practices for Model-Based Test Automation (MBTA) in Tosca.
• Performance & Scalability: Design automated tests to evaluate Snowflake warehouse performance, concurrency, and data throughput.

Technical Qualifications

• Cloud Platforms: Expert-level knowledge of Snowflake architecture, including Virtual Warehouses, Stages, Snowpipe, and Secure Data Sharing.
• Automation Tooling (Tosca): Mastery of Tricentis Tosca, including Distributed Execution (DEX), Test Data Service (TDS), and API scan modules.
• Automation Tooling (UFT): Advanced proficiency in Micro Focus UFT/One, specifically VBScript scripting, Object Repository management, and legacy application integration.
• Programming: High proficiency in Python for data engineering tasks, utilizing libraries such as Pandas, PyTest, Great Expectations, and the Snowflake-Python Connector.
• Data Engineering & ETL: Deep understanding of ETL/ELT lifecycles, data mapping, and validating transformations from RDBMS (Oracle, SQL Server) to Cloud Data Warehouses.
• Advanced SQL: Mastery of complex SQL for data profiling