This role pays more than
83%
of similar roles. Most pay
$143,322–$214,250
— the shaded band above.
At the midpoint, this role pays about
$235k
versus about
$179k
for comparable roles.
Based on 240 similar postings.
Employer
About Accenture
Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.
Accenture currently has
215 open roles
on FindRole.
Listed pay typically runs
$94,400–$266,300
across 169 roles with salary data.
As the Life and Annuity Application Data Architect, you will serve as the primary authority for ALIP data solutions, including ALIP Staging, Q&I, Digital Connect, reporting, analytics, and integration systems. You will define the long-term data architecture vision, establish enterprise standards, and manage governance models to improve the usability of data structures for life insurance and annuity clients. Your daily work involves creating reusable mapping frameworks, reference architectures, and implementation patterns while evolving the architecture toward modern, event-driven, CDC-based, streaming, and real-time consumption models. You will utilize expertise in API-based, distributed system architectures, data warehousing, and metadata management to solve complex integration challenges. The role requires a deep understanding of policy administration platforms and insurance operations to ensure data assets are effectively integrated into downstream systems like CRM platforms, data lakes, and regulatory reporting tools.
SQL
Data Analysis
Data Mapping
Data Integration
Data Warehousing
Source-to-Target Mapping
Data Transformation
CRM Systems
Data Migration
Analytics
Reporting Platforms
Data Lakes
ALIP Staging
AI
Generative AI
Robotic Process Automation (RPA)
Microsoft Copilot
Agile
Scrum
LEAN
Six Sigma
Systems Analysis
Process Mining
Workflow Automation
Low-code/No-code
Integration
Data Architecture
PostgreSQL
AWS
SQL
Data Modeling
Data Governance
DataOps
Time-Series Data
Big Data
Machine Learning
AI
Data Warehousing
Data Engineering
Metadata Management
Distributed Query Engines
Data Architecture
Database Design
Data Governance
Data Visualization
Software Engineering Management
Data Standards
Performance Metrics
Cyber Operations