Enterprise Architect - Data, Cloud & AI
Core
Define enterprise architecture standards and strategic roadmaps for large-scale data platforms, cloud infrastructure, and AI/ML systems.
Role type
Senior Enterprise Architect (Data, Cloud & AI)
Builds
Enterprise data platforms (Lakehouse, warehouse, mesh), cloud-native solutions, and AI/ML architectures.
Domain
Enterprise Technology, Data Engineering, Cloud Computing, Artificial Intelligence
Deliverable
production ML models
Required skills
Enterprise architecture, Data platform design, Cloud architecture (AWS/Azure/GCP), MLOps, Generative AI, API design, Infrastructure as Code, Distributed systems, Data governance, Stakeholder management
Preferred skills
Consulting experience, Executive stakeholder management, Mentoring
Technologies
Databricks, Cloudera, Snowflake, Hadoop, Spark, Kafka, Terraform, Kubernetes, Docker, PySpark, RAG, Vector databases, REST, GraphQL, MLOps (via careerplan.io/jobs/gfe5b984-enterprise-architect-data-cloud-ai-at-tanisha-systems)
Responsibilities
Define enterprise architecture standards and technology roadmaps; Design secure, scalable enterprise platforms and data solutions; Lead cloud migration and modernization initiatives; Establish data governance and quality standards; Architect AI/ML strategies including LLMs and RAG; Define API and integration patterns; Mentor engineering teams and lead architecture reviews.
Seniority
Senior, hands-on IC with strategic leadership
