Data Conversion Lead — Hybrid Enterprise Migration

New York Technology Partners; Portsmouth (NH); Hybrid; USD 120,000 - 160,000; Full time

Job summary

New York Technology Partners in Portsmouth, NH, seeks a Data Architect Data Conversion Lead with Guidewire Billing Center to plan and execute end-to-end data migration initiatives for large-scale implementations. You will ensure accurate extraction, transformation, validation and loading of legacy data while preserving quality and compliance.

Collaborate with business analysts, architects and vendors to map data, develop conversion scripts, perform reconciliations, and drive data governance

Qualifications

• 8+ to 12+ years of experience in data migration or data conversion roles.
• Experience with data modeling, ETL concepts, and RDBMS.
• Hands-on SQL and database tooling.
• Proven record leading conversion activities for enterprise systems.

Responsibilities

• Lead and manage the overall data conversion strategy, approach and execution.
• Analyze source/target data models and define mapping and transformation rules.
• Coordinate data extraction, cleansing, validation and reconciliation activities.
• Work with business teams to understand data requirements and usage.
• Oversee development and execution of data conversion scripts and tools.
• Validate converted data through reconciliation and exception analysis.
• Identify, track and resolve data issues and risks proactively.
• Support mock conversions, system testing, UAT and go-live cutover activities.
• Ensure adherence to data governance, audit and compliance standards.
• Provide status updates, metrics and documentation to project leadership.

Skills

Data migration

Data conversion

ETL concepts

SQL

RDBMS

Data modeling

Stakeholder management

Communication

Job description

New York Technology Partners in Portsmouth, NH, seeks a Data Architect Data Conversion Lead with Guidewire Billing Center to plan and execute end-to-end data migration initiatives for large-scale implementations. You will ensure accurate extraction, transformation, validation and loading of legacy data while preserving quality and compliance.

Collaborate with business analysts, architects and vendors to map data, develop conversion scripts, perform reconciliations, and drive data governance