Experteer Overview You will establish and mature our enterprise data architecture, governance, and quality programs while steering modernization in a hybrid Azure/AWS environment. Embedded with engineering leaders, you’ll translate strategy into actionable backlogs and deliver practical data solutions, including guidance on data warehouse migration. This role blends architecture stewardship with hands-on collaboration to raise data capability across Databricks, Azure, and AWS.Compensaciones / Beneficios
- Define and mature enterprise data architecture principles and reference models
- Establish data governance frameworks including ownership models, stewardship, controls, and decision rights
- Define and implement data quality standards and monitoring approaches
- Partner with engineering leads to co-design solutions and translate strategy into backlogs
- Provide hands-on guidance for data warehouse migration and modernization
- Deliver practical, valuable data solutions and cohesive strategy across hybrid Azure/AWS environments
- Drive quick wins inLegacy systems while scaling to modern data platforms
- Collaborate with stakeholders and enterprise architecture to ensure alignment with business goalsResponsabilidades
- Enterprise data architecture principles and reference models experience
- Experience with Databricks or similar lakehouse platforms
- Excellent communication skills with diverse stakeholders
- Hands-on in modern cloud data ecosystems (Azure and AWS)
- Expertise in data modeling, data services design, and scalable data pipelines
- Proven ability to establish data governance frameworks and data quality programs
- Ability to translate strategy into actionable backlogs and partner with engineers
- Experience supporting data warehouse migrations or modernization programs
- Capability to drive quick wins in complex, legacy environmentsRequisitos principales
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