Experteer Overview
In this role you will lead the design and evolution of a hybrid data platform, shaping scalable data solutions for the enterprise. You’ll steer a small, high-impact team, setting technical direction and contributing to architecture and code. You’ll ensure reliability, security, and cost-efficient operations while partnering with architecture, security, and governance teams. This is a hands-on leadership role that blends engineering excellence with strategic impact in a regulated environment.

Compensaciones / Incentivos
• Own end-to-end architecture and evolution of the data platform across hybrid cloud and on-prem environments
• Define technical roadmap, standards, and reusable patterns for orchestration, scheduling, and data processing
• Lead architectural decisions, proofs of concept, and adoption plans focused on scalability, interoperability, security, operability, and TCO
• Establish reliability, observability, and operational standards for data platform components (monitoring, alerting, recovery, capacity, SLOs)
• Drive platform automation via infrastructure as code, CI/CD, automated testing, and self-service capabilities
• Collaborate with architecture, security, governance, and application teams to meet enterprise standards and regulatory requirements




• Stay hands-on in architecture and code, lead design and code reviews, mentor engineers, and promote engineering excellence

Responsabilidades
• 12+ years in data or platform engineering with enterprise-scale data platforms
• Deep Snowflake expertise (architecture, ingestion, transformation, workload management, cost optimization, governance)
• Strong Airflow production experience (DAG patterns, dependency management, testing, monitoring, failure recovery)
• Strong Apache Kafka experience and event-driven architectures (design, Connect, replay strategies)
• Proven ability to integrate batch and streaming pipelines across Snowflake, Airflow, and Kafka
• Advanced Python and SQL; Java is beneficial for Kafka-based services
• Experience with Terraform, Git, CI/CD; OpenShift or Kubernetes is desirable
• Understanding of reliability, observability, data quality, security and compliance in regulated environments
• Technical leadership experience (direction, reviews, mentoring, stakeholder communication)
• English fluency; experience leveraging AI tools responsibly to improve productivity

Requisitos principales
• hybrid working model
• healthcare options
• retirement plan
• perks
• inclusive culture

📌 Lead Engineer- Data Platform (Madrid)
🏢 Deutsche Bank
📍 Madrid