Senior Consultant Data Architecture & Engineering (GDC) | WFH, midshift

About the job: Senior Consultant Data Architecture & Engineering (GDC) | REMOTE

Work setup: remote, 5 p.m. to 2 a.m.Job Highlights:

• Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonuses, and other remuneration.

• Leadership Opportunities: This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decision-making; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership, all while remaining hands-on in your areas of expertise.
• Our technology focus is on Azure; you'll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.
• Microsoft Partnerships: Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities and access to the teams that have built the platform. You won't find this at other places.
• Great working environment and company culture with a flexible work location.

Required Technical Skills:

• At least 4 years of relevant experience
• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
• Implementing data architectures to support a variety of data formats and structures, including structured, semi-structured, and unstructured data
• Experience with multiple full life-cycle data warehouse implementations
• Understanding of data architectures required to support data integration processing
• Experience with data modeling technologies such as ER/Studio, ER/Win or similar
• Experience with Microsoft Azure Data Platform services, including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, 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 capable of taking requirements and building out data pipelines
• API Knowledge is required, but preference given to candidates who can create APIs

Preferred Skills/Certifications/Experience:

• Microsoft Fabric
• Microsoft 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