Azure Data Architect

Job title

Azure Data Architect

Experience : 10+ Years

Overview of Role / Role Purpose

As an Azure Data Architect you will be a key member of the Global GTS M&A team. This role will be proficient in investigating, decomposing, and combining data of different data sources and types. Ideal candidates are prepared to design appropriate solutions to support merger data needs. The Azure Data Architect will partner with other team members on the creation of best-practices approach to capture data from disparate applications into an Azure Data Lake for cleaning, curation and mapping into various application destinations meeting Gallagher approved standards. They will identify and explore new data sources and be primarily focused on developing integration processes between systems and create thorough diagrams and documentation. They will also be responsible for identifying datasets targeted for on-prem migration and architecting the requisite platform for hosting that data from within the Gallagher datacenter.

Core Responsibilities

• Identifies, designs, and implements internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Investigates data, data sources, and performs data quality analysis.
• Collaborates with other Architects and Data Engineers to help adopt best-practices in data system creation, data integrity, test design, analysis, validation, and documentation.
• Creates and maintains optimal data pipeline architecture for extraction, transformation, and loading of data from various data sources – both internal and external.
• Assembles large, complex sets of data that meet non-functional and functional business requirements.
• Builds industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights.
• Communicates and maintains master data, metadata, data management repositories, logical data models, data standards.
• Works with stakeholders including the executive, product, data and technology teams to support their data infrastructure needs while assisting with data-related technical issues.

Key Skills and Experience

Education / Qualifications