
Lead Enterprise Data Architect
2 weeks ago
About the Role:
As a senior data engineer, you will lead the design and implementation of scalable data platforms using AWS Redshift, Databricks, and other tools. You will manage complex data pipelines, ensure adherence to best practices in data quality, governance, and security, and guide a team to deliver high-performance, cost-effective, and reliable data solutions.
Responsibilities:
- Design, develop, and optimize large-scale data architectures and workflows across AWS and Databricks environments.
- Integrate data from enterprise insurance systems into centralized analytics platforms.
- Drive automation and implement governance frameworks.
- Manage multiple priorities in a fast-paced environment and stay up-to-date with emerging tools, frameworks, and best practices in data engineering.
Requirements:
- Cloud & Data Platforms: AWS Redshift, Databricks
- ETL/ELT & Integration Tools: Fivetran, DBT
- Insurance Platforms: Guidewire ClaimCenter, PolicyCenter
- Data Architecture & Modeling: Data warehouse & Lakehouse design, Dimensional Modeling, Performance Tuning
- Programming & Scripting: SQL, Python & Unix
- Automation & DevOps: Infrastructure as Code (Terraform/CloudFormation), CI/CD for data workflows, Git, GitHub workflows, and CI/CD tools like Jenkins
- NoSQL Databases: AWS DynamoDB, MongoDB, etc.
- Data Governance & Quality: Data security, lineage, compliance, and quality management
- Leadership: Proven track record in managing and mentoring data engineering teams
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