Role OverviewThe role leads core platform architecture across ingestion, storage, compute, orchestration, security, governance integration, observability, and operations. The successful candidate will build a resilient, secure, AI-ready platform that enables Data Engineering, BI, Analytics, and ML/AI teams to deliver trusted data products at enterprise scale.
What You Will Do
Lead the design and implementation of a scalable, resilient enterprise data platform integrating advanced technologies and best practices. Establish and enforce architecture standards for data ingestion, storage, processing, and security to drive efficient operations and data quality.
Why It Might Be a Fit
The candidate will have the opportunity to shape cutting-edge data platform architecture, drive enterprise-level data strategies, and collaborate with talented professionals to enable impactful analytics and machine learning initiatives.
Requirements
- 12+ years of experience in data architecture, engineering, or related fields; 5+ years in large-scale data platforms.
- Proficient in designing and implementing solutions using SQL, Apache Spark, ETL/ELT frameworks, and orchestration tools.
- Strong understanding of data storage formats, lifecycle management, and performance optimization techniques.
- Hands-on experience with cloud technologies and platforms like Kubernetes, Trino, Dremio, and Informatica.
- Expertise in implementing security controls such as RBAC, encryption, and audit logging for data governance.
- Ability to drive architectural decisions and collaborate with cross-functional teams effectively.
- Experience with DevOps practices, CI/CD, and infrastructure-as-code for seamless data platform operations.
- Bachelor's degree in Computer Science, Engineering, or related technical field; advanced degree preferred.
Benefits
- 401(k) eligibility
- Paid time off benefits, such as vacation, sick time, and parental leave
- Financial benefits
- Sign-on bonus
- Restricted stock units
- Discretionary awards
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