Information Technology_USA - USA_Developer

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