Senior Data Architect / Cloud Data Leadership Role (Azure Focus)

Core Responsibilities:

• Leadership Opportunities – This role will help you extend and expand your knowledge and experience in technical leadership positions, including technical decision-making, guidance and mentorship of more junior team members, and developing relationships with project, client, and company leadership while remaining hands-on in your areas of expertise.
• Focus on Azure technology – You’ll have exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a defined space. Six months of experience on this team is worth years elsewhere.
• Leverage Microsoft Partnerships – Access to cutting-edge Azure work opportunities and direct connections with the teams that built the platform.
• Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonuses, and other remuneration.
• Thriving working environment and company culture with flexible work location.

General Required Technical Skills:

• Experience leading small to medium-sized technical teams (work allocation, technical escalation, Agile ceremonies, client meetings).
• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments.
• Implementing data architectures to support structured, semi-structured, and unstructured data.
• Experience with multiple full life-cycle data warehouse implementations.
• Understanding of data architectures for data integration processing.
• Experience with data modeling technologies such as ER/Studio or ER/Win.
• Experience with Microsoft Azure Data Platform services, including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs.
• Demonstrated ability to quickly learn, adopt, and apply new technologies.
• Data profiling and creation of source-to-target mappings.
• Ability to provision and configure Azure data service resources.

Detailed Required Skills:

• Python & SQL Scripting
• SQL, PySpark
• General cloud architecture competency – Ability to take requirements and build out data pipelines.
• API Knowledge (preference for candidates who can create APIs).

Preferred Experience/Skills/Certifications:

• Microsoft Fabric
• Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
• Experience creating strategies to migrate customers from on-premise environments to Azure.
• Power BI and semantic modeling
• AWS Glue & Azure Data Factory
• AWS S3 & Azure Blob
• AWS Athena & Azure Databricks
• AWS Redshift & Azure Synapse
• AWS ECS & Azure AKS