What are the responsibilities and job description for the Majesco Migration - Data Architect position at Net2Source (N2S)?
Role Name: Majesco Migration - Data Architect
Location: Erie, PA
Duration:12 Month
JOB DESCRIPTION:
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.
Regards
Divyansh