Enterprise Data Architect
About the Opportunity: We are seeking a seasoned Data Architect to spearhead the design and implementation of a cutting-edge data warehouse instance.
Key Responsibilities:
1. Design and deploy a tailored Databricks Lakehouse instance catering to the client's product-level data needs.
2. Develop robust data ingestion pipelines using Spark and Delta Lake for optimal data processing.
3. Integrate AWS-native services with Databricks to optimize performance, scalability, and reliability.
4. Define data models, optimize query performance, and establish best practices for warehouse governance.
5. Collaborate cross-functionally with product teams, data scientists, and DevOps to streamline data workflows and enhance productivity.
6. Ensure seamless maintenance of CI/CD using GitOps and Infrastructure-as-Code.
7. Monitor data jobs, resolve performance bottlenecks, and ensure efficient operations across environments.
Required Skills & Experience:
* Strategic Data Warehousing & Modeling
* AWS Integration & Automation
* DevOps & Infrastructure Management
* Cloud-Native Architecture
Bonus/Nice to Have:
* Experience supporting gaming or real-time analytics workloads
* Familiarity with Airflow, Kafka, or EventBridge
* Exposure to data privacy and compliance practices
Why You'll Thrive: As a seasoned Data Architect, you will be part of a dynamic team that values innovation, collaboration, and growth. Our ideal candidate is passionate about staying ahead of the curve in the ever-evolving world of data architecture and technology.