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Participate in Enterprise-wide Data Management & Governance programs as a technology expert
Lead customer conversations to define modern Data Management architecture
Lead Data Management & Governance assessments to help clients select the optimal technology stack in Metadata Management, Data Quality, Lineage and other related capabilities
Create roadmaps and implementation plans for the selected technology stack
Create reusable templates and lead accelerators development
Requirements:
Bachelor’s or Master’s Degree in Information Technology or related discipline
Minimum 3 years in a Technology Consulting role leading Data Management & Governance initiatives
Deep practical subject matter expertise in the following areas: Data Quality, Metadata Management & Data Catalog, Data Lineage
Technology expertise with one or several other commercial or open-source tools, e.g. Alation, Informatica, Ataccama
Practical expertise in conducting maturity assessment and gap analysis and providing strategic roadmap and solution implementation guidelines
Expertise on industry & market trends with tools scoring model for selecting fit for purpose technology solution and tailoring and applying industry best practices at scale
Extensive practical expertise with modern data stack, agile environments and high-end technologies
Understanding of modern concepts as Data Observability, DataOps and Data Mesh
Ability to work independently, manage small engagements
Excellent verbal and written command of the English language, to drive client side discussions and draft concise documentation when required
Nice to have:
Technology expertise in modern Big Data & Cloud stack: Spark, Snowflake, Databricks, etc
Practical expertise in implementation of Data Governance for modern cloud data lakes