Azure Data Architect

Job Description Job Description We are looking for an experienced Azure Data Architect to join our global technology team.

This role plays a key part in designing and implementing scalable cloud-based data solutions that support enterprise integration, analytics, and transformation initiatives.

The successful candidate will be skilled in working across multiple data sources, designing robust data pipelines, and supporting cloud data architecture with a focus on automation, performance, and governance.

This position focuses heavily on integrating and curating data from various systems into an Azure-based data environment.

You'll collaborate with cross-functional teams to develop standards and frameworks for scalable ingestion, cleaning, transformation, and modeling across large datasets.

Key Responsibilities Design and implement optimized data pipelines and architecture for efficient ingestion, transformation, and delivery across a wide range of data sources.

Analyze data quality and perform detailed investigations across structured and unstructured datasets.

Partner with data engineers and solution architects to apply best practices in data modeling, test design, validation, and integration.

Build and scale data platforms that meet both functional and non-functional requirements.

Develop curated and industrialized datasets to support analytical use cases and business intelligence reporting.

Document data architecture diagrams, lineage, metadata, and standards across enterprise systems.

Identify and design cloud-based solutions for migrating and hosting legacy on-prem datasets in a scalable, secure environment.

Work closely with business stakeholders to align data architecture to organizational objectives and operational needs.

Strong analytical and troubleshooting skills with a solution-oriented mindset.

Hands-on experience working with Microsoft SQL Server, Azure SQL, Azure Synapse (formerly Azure SQL DW), Dynamics CRM, and Dynamics 365.

Proficient in ETL and integration technologies including Azure Data Factory, Azure Logic Apps, SSIS, Power Automate, and other Azure-native integration services.

Advanced proficiency with relational SQL and NoSQL data platforms.

Expertise in Snowflake within both AWS and Azure cloud environments.

Familiarity with data preparation techniques and integrating with Power BI or similar reporting tools.

Experience working in agile environments with cross-functional teams, translating business needs into data solutions.

Qualifications Bachelor’s degree in Computer Science, Information Technology, or related discipline.

Minimum of 3 years of experience in a data architecture, engineering, or integration role.