Descripción del Puesto:
Última información laboral de Luxoft para la posición de Job Opportunity: Lead Databricks Architect. If the Job Opportunity: Lead Databricks Architect vacante en México coincide con tus calificaciones, envía tu solicitud o currículum directamente a través del portal actualizado de Jobkos.
Ten en cuenta que aplicar a un trabajo puede no ser siempre fácil, ya que los candidatos deben cumplir con ciertos requisitos establecidos por la empresa. Esperamos que esta oportunidad en Luxoft para la posición de Job Opportunity: Lead Databricks Architect se ajuste a tu perfil profesional.
Are you a hands-on technical leader ready to shape the future of enterprise data and AI? ️ We are seeking a highly experienced Databricks Architect to lead the design, implementation, and optimization of enterprise-grade data platforms and AI-enabled workloads for a world-renowned global food corporation.
If you combine deep Databricks expertise with strong architectural leadership and thrive in a dynamic, managed service delivery model, we want to hear from you! ✨
Role Overview & Project Description
In this role, you will act as a trusted advisor and technical heavyweight. You will translate complex business and data requirements into scalable, Databricks-based solutions while ensuring robust governance, peak performance, and operational resilience.
Key Responsibilities
- Architect & Design: Lead the architecture and implementation of Databricks-based data platforms, pipelines, and AI/ML workloads ️.
- Define Lakehouse Patterns: Establish scalable patterns using core capabilities like Apache Spark, Delta Lake, Databricks SQL, MLflow, and governance components .
- Pipeline Engineering: Design robust batch and streaming data pipelines for high-volume, business-critical workloads .
- Standards & Optimization: Define architecture standards for performance tuning, workload orchestration, reliability, observability, and cost control ⏱️.
- Blueprints & Roadmaps: Translate business and technical needs into solution blueprints and execution roadmaps ️.
- Cross-Functional Collaboration: Team up with data engineers, analysts, data scientists, DevOps, and business stakeholders to deliver seamless end-to-end solutions .
- Governance & Security: Ensure rock-solid data governance, security, and compliance across the Databricks environment .
- AI Foundations: Support advanced analytics by enabling reliable feature engineering, model lifecycle practices, and production-ready data foundations .
- Technical Leadership: Provide hands-on guidance during delivery, troubleshooting, and optimization of existing workloads .
️ Mandatory Skills & Qualifications
- Databricks Expertise: Deep, hands-on mastery of the Databricks platform (workspace design, cluster strategy, Empleos orchestration, and platform optimization) .
- Apache Spark: Strong command of Spark and distributed data processing concepts, including performance tuning ⚡.
- Lakehouse Architecture: Proven experience designing and delivering enterprise data solutions using Delta Lake principles .
- Languages: Strong proficiency in Python and SQL (Scala is a definite plus!) .
- ETL/ELT Pipelines: Demonstrated capability in building/optimizing large-scale ingestion frameworks and data models .
- AI/ML Support: Experience supporting workloads via MLflow, managing model lifecycles, and setting up production-ready data .
- Cloud Platforms: Solid knowledge of cloud-native architecture patterns on AWS, Azure, or GCP (including storage, networking, and identity integration) ☁️.
- Data Governance: Experience with access control, data lineage, and compliance frameworks in enterprise environments ️.
- DevOps & CI/CD: Familiarity with infrastructure-as-code, monitoring, and operational best practices for data platforms .
- Problem Solver: Ability to dive into deep technical problem-solving with minimal ramp-up time .
Información de la Vacante:
- Empresa: Luxoft
- Puesto: Job Opportunity: Lead Databricks Architect
- Lugar de Trabajo: México
- País: MX
Cómo Enviar tu Postulación:
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