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Lead Data Vault Engineer

This role is for a Lead Data Vault Engineer for a 6-month project, offering a competitive pay rate. Key skills required include Data Vault methodology, SQL, ETL tools, and cloud platforms (AWS, Azure, GCP). Data modeling experience is essential.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 20, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Data Profiling #AWS (Amazon Web Services) #Data Modeling #Vault #Security #Talend #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Informatica #Data Vault #Azure #Cloud #Compliance #Data Governance #Data Integration
Role description
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Overview

We are seeking a skilled Data Vault Engineer/Architect to join our customers team for a 6-month project. The ideal candidate will have extensive experience in data modeling, ETL processes, and data warehousing using the Data Vault methodology.

Key Responsibilities
• Design and implement Data Vault models to support business intelligence and analytics solutions.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications.
• Develop and optimize ETL processes to ensure efficient data integration and transformation.
• Implement best practices for data governance, quality, and security.
• Conduct data profiling and analysis to identify trends and anomalies.
• Provide technical guidance and support to team members and stakeholders.
• Document designs, processes, and workflows for future reference and compliance.

Technical Skills
• Strong understanding of Data Vault methodology and best practices.
• Proficiency in SQL and experience with ETL tools (e.g., Talend, Informatica, or similar).
• Familiarity with data warehousing concepts and architectures.
• Experience with cloud data platforms (e.g., AWS, Azure, GCP).
• Knowledge of data modeling tools and techniques.
• Familiarity with data governance and security practices.
• Strong analytical and problem-solving skills.