Platform Architect

Role Summary

The Platform Architect will serve as the technical “north star” for the design, integration, and evolution of a large-scale enterprise data platform across customer deployments and complex programs. This role is responsible for defining scalable, secure, and composable architectures that support on-prem, hybrid, and cloud environments while meeting demanding enterprise requirements.

This is a forward-facing, highly influential role requiring deep technical expertise, strong architectural judgment, and a customer-centric mindset. The Platform Architect will participate in architecture governance, guide implementation teams, and ensure all solutions align with open-source, modular, and composable design principles.

Core Responsibilities

• Architect and evolve an end-to-end data platform across on-prem, hybrid, and cloud environments based on customer requirements and constraints.

• Design and define integration points across data services, pipelines, orchestration, governance, and security layers.

• Translate solution requests and business requirements into scalable, secure, and compliant architecture blueprints.

• Lead and participate in Architecture Review Boards (ARBs), ensuring deployments align with enterprise standards and architectural principles.

• Define, document, and maintain reference architectures, design patterns, and integration frameworks.

• Guide platform engineers and client teams on best practices for security, observability, reliability, and scalability.

• Oversee the selection, integration, and tuning of open-source components for data processing, orchestration, governance, and analytics.

• Partner with product and engineering leadership to evolve the long-term platform architecture and technical roadmap.

• Mentor engineers and collaborate with DevOps, Security, and DataOps teams to drive architectural alignment and platform maturity.

Key Skills & Tools

Core Technologies

• Spark, Trino, Airflow, NiFi, YuniKorn, Superset, Iceberg, Ranger, DataHub, S3

Infrastructure & Automation

• Terraform, Kubernetes (K8s), OpenShift (OCP), Docker, Linux

Security & Governance

• IAM, SSO, KMS, Kerberos, Encryption, RBAC

Monitoring & Observability

• Grafana, Datadog, Prometheus

Programming Languages

• Java, Scala, Python (preferred)

Architecture Practices

• Solution design, reference architectures, system modeling, scaling patterns

Ideal Background

• 8–12 years of experience designing and implementing large-scale distributed data platforms, ideally in regulated or compliance-driven environments.

• Proven experience as a technical architect or senior engineer working with open-source data platforms and large enterprise deployments.

• Hands-on experience integrating and operating open-source data tools across hybrid-cloud and containerized environments.

• Strong understanding of enterprise security and governance frameworks (e.g., SOX, FFIEC, GDPR).

• Exceptional communication and stakeholder engagement skills, with the ability to influence architectural decisions across engineering and client organizations.

Success Criteria

• Delivery of a validated, production-ready platform architecture that meets enterprise and customer requirements.

• Successful approval outcomes from Architecture Review Boards and internal security and governance reviews.

• Clearly defined and documented integration standards adopted across all implementation teams.

• Effective enablement of platform engineers and developers through reusable patterns, templates, and technical guidance.

• Measurable reductions in deployment friction, downtime, or rework during platform rollouts.