Data Architect

We are looking for an experienced Data Architect with strong expertise in enterprise data architecture, data modeling, and integration within the insurance domain. Experience working with Majesco platforms (Policy, Billing, Claims, Digital1st) is highly preferred. This role involves defining data strategy, designing scalable data solutions, and ensuring data quality governance and interoperability across systems.

Define and maintain the enterprise data architecture, including conceptual, logical, and physical data models.

Develop and optimize data models for operational systems, analytics platforms, data lakes, and data warehouses.

Ensure consistent data definitions, metadata standards, and data lineage.

Analyze and interpret Majesco data models, schemas, and integration frameworks.

Design and manage data flows between Majesco Policy, Billing, Claims, and external/internal systems.

Support Majesco migrations, upgrades, extractions, and reporting data pipelines.

Design and oversee ETL/ELT pipelines for structured and unstructured data.

Collaborate with integration architects to ensure high-quality, secure, and reliable data exchanges.

Implement data solutions using cloud-native tools (Azure, AWS, or GCP).

Establish and enforce data governance, master data management (MDM), and data stewardship practices.

Define data quality rules, validation processes, and remediation strategies.

Ensure compliance with regulatory requirements and data security standards.

Partner with business stakeholders, analysts, and developers to translate requirements into scalable data solutions.

Review architecture designs, provide technical guidance, and ensure adherence to enterprise standards.

Lead data architecture discussions across cross‑functional teams.

8 years of experience in data architecture, data modeling, or enterprise architecture.

Strong knowledge of insurance domain data structures (PC preferred).

Experience with Majesco Policy, Billing, Claims, D1 data models, APIs, and integration approaches.

Strong understanding of data governance, MDM, metadata management, and data cataloging tools.

SQL relational databases: SQL Server, Oracle, Postgre

SQL.

Data modeling tools:
Erwin, Sparx EA, Power Designer.

Experience supporting Majesco transformations, system modernizations, or cloud migrations.

Hands‑on experience with Azure Data Services (Data Factory, Databricks, ADLS, Synapse).

Familiarity with ACORD data standards and industry reference models.

Experience building pipelines for operational reporting and advanced analytics.