Job Title: Enterprise Data Solution Architect
Location: New York, NY
Duration: 6 months (Extendable)
Pay Range: $55-58/Hour on W2/C2C (All Inclusive)
Request ID: 114989-1
We are seeking an experienced Enterprise Data Solution Architect to lead large-scale data modernization initiatives within the Life & Annuity insurance domain. The ideal candidate will provide architecture leadership across Databricks Lakehouse, AWS Cloud, Java/Python application integration, Kafka event streaming, enterprise data platforms, analytics, and governance frameworks.
This role will drive end-to-end architecture strategy, solution design, data governance, cloud integration, and modernization programs while collaborating with business, product, engineering, and data teams.
Key Responsibilities
Enterprise Architecture
- Define and drive enterprise data and integration architecture strategies.
- Design scalable, secure, and cloud-native architectures supporting insurance modernization initiatives.
- Align application, data, analytics, and cloud platforms with enterprise technology roadmaps.
- Establish architecture standards, patterns, and governance frameworks.
Databricks Lakehouse Leadership
- Lead Databricks platform implementation and governance initiatives.
- Design and administer Databricks workspaces and Lakehouse architecture.
- Implement Delta Lake, Unity Catalog, MLflow, and enterprise governance controls.
- Define data lifecycle, metadata, lineage, and cataloging standards.
- Optimize workspace performance, cost management, and operational efficiency.
Data Architecture
- Design enterprise data models supporting Life & Annuity business processes.
- Define logical and physical data architecture standards.
- Establish data security, retention, quality, and compliance frameworks.
- Drive metadata management, master data management, and data governance initiatives.
Data Engineering & Integration
- Design and oversee scalable data pipelines using:
- Databricks
- PySpark
- Spark SQL
- Delta Lake
- Auto Loader
- Structured Streaming
- AWS S3
- Implement batch and real-time ingestion architectures.
- Develop performance tuning and optimization strategies.
- Establish CI/CD practices for data engineering deployments.
Application & Integration Architecture
- Define full-stack architecture patterns using:
- Java
- Spring Boot
- React
- Python
- Architect microservices and event-driven solutions.
- Design integration patterns utilizing:
- Kafka
- Event Streaming
- REST APIs
- KONG API Gateway
- Ensure scalability, resiliency, and security across application ecosystems.
Analytics & Business Intelligence
- Partner with business stakeholders to define KPIs and reporting requirements.
- Enable data-driven decision making using:
- Power BI
- SQL Analytics
- Self-Service Reporting
- Support root-cause analysis and advanced business insights.
Required Technical Skills
Data & Analytics
- Databricks Lakehouse Platform
- Delta Lake
- Unity Catalog
- MLflow
- PySpark
- Spark SQL
- Structured Streaming
- Auto Loader
- Power BI
- Advanced SQL
Cloud Technologies
- AWS
- S3
- RDS
- Lambda
- Glue
- Redshift
- IAM
- Cloud-Native Architecture
Application Technologies
- Java
- Spring Boot
- Python
- React
- REST API Development
- Microservices
Integration Technologies
- Kafka
- Event Streaming
- KONG API Gateway
- API Management
DevOps & Automation
- CI/CD Pipelines
- Git
- Jenkins
- GitLab
- Azure DevOps
- Infrastructure as Code
Data Governance & Security
- Unity Catalog Governance
- Metadata Management
- Data Lineage
- Data Security
- Regulatory Compliance
- Access Management
Preferred Domain Experience
- Life Insurance
- Annuity Products
- Policy Administration
- Claims Processing
- Underwriting
- Agent & Broker Platforms
- Insurance Data Models
- Digital Transformation Programs
Ideal Candidate Profile
- 10+ years of Data, Cloud, and Solution Architecture experience.
- Strong hands-on expertise with Databricks Lakehouse.
- Proven experience leading enterprise-scale modernization programs.
- Deep understanding of AWS cloud architecture.
- Experience implementing data governance and security frameworks.
- Strong stakeholder management and leadership capabilities.
- Experience mentoring architects, engineers, and analysts.