Senior Manager, Enterprise Data Platform

Jobtailor; Deutschland; Remote; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a Senior Data Platform Leader to define the long-term strategy and architecture for the Enterprise Data Platform in a highly autonomous, AI-ready environment. You will mentor both central and federated teams while championing governance and cost attribution.

The role requires hands-on leadership, deep experience with Snowflake, dbt, and cloud-native ETL/ELT tools, and a proven track record building self-service data platforms within a Data Mesh framework.

Qualifikationen

• Experience driving technical strategies to AI-ready data platforms.
• 5+ years leading data engineering/platform/analytics teams.
• Deep knowledge of Snowflake and dbt.
• Hands-on data pipelines, ETL/ELT, and RAG architectures.
• Experience with self-service data platforms and Data Mesh.

Aufgaben

• Define the long-term technical roadmap, architecture, and strategy for the Enterprise Data Platform.
• Empower decentralized business functions to be self-sufficient.
• Advance both central and federated teams to be AI-ready.
• Implement governance, data observability, and cost attribution frameworks.
• Lead from the front as a hands-on manager.

Kenntnisse

Technical Strategy Development

Data Engineering Leadership

AI Readiness

Mentoring & Team Growth

Hands-On Management

Tools

Snowflake

Dbt

Cloud-Native ETL/ELT Tools

Jobbeschreibung

• Define the long-term technical roadmap, architecture, and strategy for the Enterprise Data Platform
• Empower decentralized business functions to be entirely self-sufficient
• Advance both the central and federated teams to become truly AI-ready
• Implement frameworks for robust platform governance, data observability, and transparent cost attribution
• Lead from the front as a hands-on manager

Requirements

• Demonstrated experience driving technical strategies to transition traditional data structures and business intelligence teams into AI-ready units
• 5+ years of experience leading, mentoring, and growing high-performing data engineering, platform engineering, or analytics engineering teams
• Deep architectural and operational knowledge of Snowflake and dbt
• Hands-on knowledge of designing data pipelines (ETL), analytics, and building/serving Retrieval-Augmented Generation (RAG) architectures
• Practical experience implementing or operating within a self-service data platform environment and a Data Mesh architectural framework
• Strong hands-on experience with cloud-native ETL/ELT tools and strong software engineering skills in Python and SQL

Core Competencies

Demonstrates expertise in defining technical roadmaps and architectures for Enterprise Data Platforms, with a strong focus on AI readiness and self-service data environments. Proven ability to lead and mentor high-performing teams in data engineering and analytics.

Highest-signal resume keywords

• Technical Strategy Development
• Data Engineering Leadership
• Snowflake Architecture
• ETL/ELT Tools Proficiency
• Python and SQL Programming

Hard Skills

• Data Pipeline Design
• Analytics Engineering
• Retrieval-Augmented Generation (RAG)
• Data Mesh Framework
• Data Governance Implementation

Soft Skills

• Hands-On Management
• Mentoring

Industry Keywords

• AI-Ready Units
• Self-Service Data Platform
• Data Observability
• Cost Attribution

Tools & Technologies

• Snowflake
• Dbt
• Cloud-Native ETL/ELT Tools