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 experienceExpertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environmentsImplementing data architectures to support a variety of data formats and structures, including structured, semi-structured, and unstructured dataExperience with multiple full life-cycle data warehouse implementationsUnderstanding of data architectures required to support data integration processingExperience with data modeling technologies such as ER / Studio, ER / Win or similarExperience with Microsoft Azure Data Platform services, including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIsDemonstrated ability to quickly learn, adopt and apply new technologiesData profiling and creation of source-to-target mappingsAbility to provision and configure Azure data service resourcesDetailed Required Skills :
Python & SQL ScriptingSQL, PySparkGeneral Cloud Architecture competency capable of taking requirements and building out data pipelinesAPI Knowledge is required, but preference given to candidates who can create APIsPreferred Skills / Certifications / Experience :
Microsoft FabricMicrosoft Azure Cosmos DB, Data Flows, Express Route, Azure Active DirectoryExperience creating strategies to migrate customers from on-premise environments to AzurePower BI and semantic modelingAWS Glue & Azure Data FactoryAWS S3 & Azure BlobAWS Athena & Azure DatabricksAWS Redshift & Azure SynapseAWS ECS & Azure AKS