Platform Architect
Location
United States
Posted
16 days ago
Salary
Not specified
8 yrs expEnglishAirflowAWSCloudSpark
Job Description
• Architect and evolve the end-to-end NexusOne platform across on-prem, hybrid, and cloud environments, tailored to customer requirements and constraints.
• Design and designate integration points for data services, pipelines, orchestration, governance, and security layers.
• Translate solution requests and business requirements into scalable, compliant architecture blueprints.
• Lead and participate in Architecture Review Boards (ARBs) to align deployments with enterprise standards.
• Define and maintain reference architectures, design patterns, and integration frameworks.
• Guide platform engineers and client teams in implementing best practices for security, observability, and reliability.
• Oversee the selection, integration, and tuning of open-source components such as Airflow, Spark, Trino, YuniKorn, Superset, S3, NiFi, Ranger, and DataHub.
• Partner with product and engineering leadership to evolve the NexusOne “North Star” architecture and roadmap.
• Mentor engineers and collaborate with DevOps, Security, and DataOps to drive alignment and platform maturity.
Job Requirements
- 8–12 years of experience designing or implementing large-scale distributed data platforms in regulated industries.
- Proven track record as a technical architect or lead engineer at Cloudera, Databricks, AWS EMR, or similar open-source platform providers.
- Hands-on experience integrating and operating open-source data tools across hybrid-cloud and containerized environments.
- Strong understanding of enterprise governance and security frameworks (SOX, FFIEC, GDPR).
- Exceptional communication and stakeholder engagement skills to influence architecture decisions across engineering and client teams.
Benefits
- A collaborative team culture built on curiosity and respect
- Challenging work where your contributions clearly matter
- A leadership team that invests in learning and development
- The opportunity to work at the intersection of cloud, data, and AI innovation
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