AI Platform Engineer - Databricks, 100% En remoto

EPAM; A distancia; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Una empresa tecnológica busca un ingeniero de plataformas AI para diseñar y operar soluciones basadas en Databricks en AWS. Las responsabilidades incluyen administrar espacios de trabajo, implementar gobernanza de datos y construir infraestructura como código con Terraform. Se requiere experiencia en Databricks y AWS, así como habilidades en Python, SQL y DevOps. Ofrecemos un entorno dinámico y oportunidades para el desarrollo profesional.

Servicios

Seguro de salud privado

Plan de compra de acciones para empleados

Licencia por enfermedad de 100 días

Programa de referidos

Certificación profesional

Cursos de idiomas

Formación

• Experiencia en administración de Databricks en AWS.
• Fuerte base en AWS: redes, IAM, KMS, S3.
• Conocimiento en automatización DevOps.

Responsabilidades

• Diseñar soluciones de Databricks para soporte analítico.
• Administrar y optimizar espacios de trabajo de Databricks.
• Implementar gobernanza de Unity Catalog.

Conocimientos

Administración de Databricks

AWS

Terraform

Python

SQL

MLflow

GitHub y Git

APIs REST

Herramientas

GitHub Actions

Delta Lake

Descripción del empleo

AI Platform Engineer - Databricks, 100% En remoto EPAM•Madrid, España

Descripción del trabajo

AI Platform Engineer - Databricks

We are seeking a hands‑on AI Platform Engineer to design, build and operate Databricks-based data and AI platforms on AWS. You will enhance AI capabilities by leveraging Databricks (Workspace, Unity Catalog, Lakehouse, MLflow), modern cloud services and DevOps / MLOps practices to deliver reliable, secure and scalable platforms.

You will build, deploy and evolve next‑generation platform capabilities at scale, partnering with data scientists, ML engineers and platform teams to deliver a best‑in‑class developer experience on the Lakehouse.

RESPONSIBILITIES

• Design and implement scalable Databricks platform solutions to support analytics, ML and GenAI workflows across environments
• Administer and optimize Databricks workspaces
• Implement Unity Catalog governance: define metastores, catalogs, schemas, data sharing, row / column masking, lineage and access controls
• Build IaC for reproducible platform provisioning and configuration using Terraform
• Manage config‑as‑code for cluster policies, jobs, repos, service principals and secret scopes
• Implement CI / CD for notebooks, libraries, DLT pipelines and ML assets
• Automate testing, quality gates and promotion across workspaces using GitHub Actions and Databricks APIs
• Standardize experiment structure, implement model registry workflows and deploy / operate model serving endpoints with monitoring and rollback

REQUIREMENTS

• Hands‑on Databricks administration on AWS, including Unity Catalog governance and enterprise integrations
• Strong AWS foundation: networking (VPC, subnets, SGs), IAM roles and policies, KMS, S3, CloudWatch
• Proficiency with Terraform (including Databricks provider), GitHub and GitHub Actions
• Strong Python and SQL
• Experience with MLflow for tracking and model registry
• Familiarity with Delta Lake, Auto Loader, Structured Streaming and DLT
• Experience implementing DevOps automation and runbooks
• Comfort with REST APIs and Databricks CLI
• Git and GitHub proficiency

WE OFFER - Private health insurance

• EPAM Employees Stock Purchase Plan
• 100 paid sick leave
• Referral Program
• Professional certification
• Language courses

Python, SQL, MLflow, Databricks