Job ID: 114985-1
Title: Enterprise Data Solution Architect
Location: New York, NY
Duration: 6+ Months
Salary Range: $55- $58 an hour
Local to NY NY only! Face to face interview
Skills: Databricks
Experience Required: 10 & Above
Role Descriptions:Essential Skills and Responsibilities
1. Enterprise Data Solution Architect
- Application and integration architecture.
- Full-stack solution design using Java, React, and Python.
- API management and integration using KONG API Gateway.
- Event-driven architecture and streaming using Apache Kafka.
- AWS cloud-native architecture and services.
- Database architecture using PostgreSQL and Amazon RDS.
- Application security, scalability, performance, and reliability.
- Alignment with Life & Annuity business modernization initiatives.
2. Databricks POD Lead
- Technical leadership of Databricks Lakehouse initiatives and delivery teams.
- Databricks workspace administration and management.
- Expertise in Delta Lake, PySpark, and Unity Catalog.
- MLflow implementation and management.
- Integration with AWS cloud services.
- CI/CD implementation and deployment management.
- Performance optimization and platform scalability.
- Data governance, technical oversight, and delivery coordination.
3. Data Architect
- Enterprise data architecture and solution design.
- Databricks Lakehouse architecture and implementation.
- Delta Lake architecture and data modeling.
- Unity Catalog governance and access management.
- AWS data services and cloud integration.
- Metadata management and data governance.
- Data security, integration architecture, and scalability.
- Experience with insurance and Life & Annuity data domains.
4. Senior Databricks Data Engineer
- Strong hands-on experience with Databricks, PySpark, and Spark SQL.
- Delta Lake implementation and optimization.
- Data ingestion using Auto Loader.
- Real-time and near-real-time processing using Structured Streaming.
- AWS S3-based data ingestion and integration.
- Workflow orchestration and pipeline automation.
- Performance tuning and optimization of data pipelines.
- CI/CD implementation and deployment automation.
- Development, monitoring, and support of production-grade data pipelines.
5. Product Analyst / Data Analyst
- Business and data analysis.
- Strong SQL skills for data extraction, analysis, and validation.
- Dashboard development and reporting using Power BI.
- KPI definition, tracking, and performance measurement.
- Business requirements elicitation and documentation.
- Data visualization and analytical insights.
- Root-cause analysis and problem-solving.
- Stakeholder engagement and collaboration.
- Support for Life & Annuity business analytics and reporting initiatives.
Desirable Skills
- Experience in the Insurance, Life & Annuity domain.
- Exposure to enterprise modernization and digital transformation initiatives.
- Understanding of cloud-native architecture and AWS ecosystem.
- Knowledge of enterprise data governance, security, and compliance.
- Experience working in Agile delivery environments.
- Strong communication, collaboration, and stakeholder management skills.
- Ability to work across architecture, engineering, analytics, and business teams.
Company Benefits & Culture
• Inclusive and diverse work environment
• Opportunities for professional growth and development
• Comprehensive health and wellness benefits