Lead Consultant Data Architecture & Engineering (GDC) - WFH

About the job: Lead Consultant Data Architecture & Engineering (GDC) | REMOTE Work Setup: Remote Schedule: Midshift Experience needed: at least 4 years of relevant leadership experience Job Highlights: 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. Competitive compensation package , salary, allowance, standard benefits including quarterly and annual performance-based cash bonuses, and other remuneration. Great working environment and company culture with a flexible work location. General Required Technical Skills: 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 skillset—capable of taking requirements and building out data pipelines API Knowledge is required, but preference given to candidates who can create APIs Preferred Experience/Skills/Certifications: 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