SENIOR CONSULTANT DATA ARCHITECTURE & ENGINEERING (GDC) - WFH

About the job Senior Consultant Data Architecture & Engineering (GDC) | REMOTE Work Setup: Remote Schedule: Midshift 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 wont find this at other places. • Competitive compensation package , salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration. • Great working environment and company culture with 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, 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