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Job Description
Majesco Migration Data Architect at New York Technology Partners Majesco Migration Data Architect at New York Technology Partners in Erie, Pennsylvania Posted in about 21 hours ago.
Type:
full-time
Job Description:
Role :
Majesco Migration Data Architect Duration :
Long Term Contact Location :
Erie, PA Hybrid Job Description:
Title:
Majesco Migration
Data Architect Goal:
Define and govern scalable enterprise data architecture that integrates Majesco platforms and enables reliable operations, analytics, and regulatory compliance. The Most Relevant Skill Enterprise insurance data architecture with Majesco
ability to design, govern, and integrate Majesco Policy/Billing/Claims data models across operational and analytical platforms with high data quality.
Scope Define and maintain enterprise conceptual, logical, and physical data models for operational systems, data lakes, and warehouses. Architect and govern data integration between Majesco Policy, Billing, Claims, Digital1st, and internal/external systems. Design ETL/ELT pipelines supporting operational reporting, analytics, and regulatory use cases. Establish data governance, metadata, lineage, and data quality controls across platforms. Provide technical leadership and architecture reviews for cross?functional delivery teams. Support Majesco migrations, upgrades, extractions, and reporting pipelines. Must-Haves (Non-Negotiable) Insurance domain data architecture (P&C preferred)
hands-on modeling of policy, billing, claims, parties, coverages, and transactions. Majesco platform data expertise
working knowledge of Majesco Policy/Billing/Claims/Digital1st data models, APIs, and integration patterns. Enterprise data modeling
creation and maintenance of conceptual, logical, and physical models using standard tools. Relational databases & SQL
advanced querying and schema design on SQL Server, Oracle, or PostgreSQL. Data integration architecture
design and oversight of ETL/ELT pipelines for structured/unstructured data. Cloud data platforms
implementation using Azure, AWS, or GCP data services (at least one). Data governance & quality
definition of standards, MDM concepts, validation rules, lineage, and remediation processes. Security & compliance awareness
data protection and regulatory compliance embedded in architecture decisions. Technical leadership
translate business requirements into scalable data designs; review and enforce standards. Experience level
8+ years in data architecture, data modeling, or enterprise architecture. Good-To-Haves (Negotiable) Azure data stack
Data Factory, Databricks, ADLS, Synapse for large-scale pipelines. ACORD standards
mapping and alignment to industry reference models. Modern analytics
pipelines enabling advanced analytics and reporting. Modernization programs
Majesco transformations or cloud migrations.
Rejection List (Disqualifiers) Reject if missing: insurance domain data architecture experience.
Reject if missing:
Majesco Policy/Billing/Claims data model or integration exposure.