Senior Manager, Enterprise Data Platform

Stellenbeschreibung:

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.