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Majesco Migration Data Architect
Job Location:
Monthly Salary:
Posted:
22 May 2026 (30+ days ago)
Posted:
Application Deadline:
19 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Majesco Migration - Data Architect
Location: Erie PA
Position Type: Contract
Duration: 6 / 12 Month
Work Type: Onsite
Rate: Pay range offered to a successful candidate will be based on several factors including the candidates education work experience work location specific job duties certifications etc.
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.
Reject if missing: hands-on enterprise data modeling experience.
Reject if missing: SQL and relational database proficiency.
Reject if missing: data integration/ETL architecture experience.
Reject if missing: data governance and quality implementation.
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.
Reject if missing: hands-on enterprise data modeling experience.
Reject if missing: SQL and relational database proficiency.
Reject if missing: data integration/ETL architecture experience.
Reject if missing: data governance and quality implementation.
ABOUT Ztek:
Ztek Consulting Inc is a minority- and woman-owned business enterprise that leverages a unique blend of human talent machine learning algorithms and artificial intelligence to provide customized talent management solutions for clients. Zteks diversity-focused hiring models have proven successful particularly in hiring veterans. The companys veteran-focused hiring and deployment program Z-V.E.T matches skilled veterans with clients needs in various areas.
Disclaimer:
Ztek is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Ztek is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race color religion or belief national origin citizenship social or ethnic origin sex age physical or mental disability veteran status marital status domestic partner status sexual orientation or any other status protected by the statutes rules and regulations in the locations where it operates. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment please contact us at Please indicate the specifics of the assistance needed. Ztek encourages all interested and qualified candidates to apply for employment opportunities. Ztek does not discriminate against applicants based on citizenship status immigration status or national origin in accordance with 8 U.S.C. 1324b.
