Lead Consultant Data Architecture & Engineering WFH, Midshift

About the job: Lead 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 OpportunitiesThis 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 Azureyoull 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 PartnershipsOur 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 wont find this at other places.
• Great working environment and company culture with a flexible work location.

Required Technical Skills:

• At least 4 years of experience leading small- to medium-sized technical teams (this includes work allocation/distribution to team members technical escalation and support and representing the team in Agile ceremonies and client meetings).
• 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 skillsetcapable 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