Data Architect at 3Cloud
3Cloud is a technology services firm helping clients transform their business through the power of the cloud. We leverage Microsoft Azure to help clients speed innovation, operate more efficiently and be more responsive to their customer’s needs. As a Microsoft partner, we specialize in Azure migration, cloud-scale custom application development, Internet of things (IoT), analytics, and DevOps achieved through Azure-enabled infrastructure automation.3Cloud is headquartered in Chicago with an office in Dallas.
Cloud Data Architect drives customer initiatives leveraging Azure data and analytics services (e.g., ranging from SQL Server to SQL Database and SQL Data Warehouse to Cortana Intelligence Suite) to solve the biggest and most complex data challenges faced by enterprise customers. The CDA is a technical, customer facing role, accountable for the end-to-end customer deployment and usage experience for Azure data services. CDAs own the Azure technical customer engagement including: architectural design sessions, implementation projects and/or proofs of concept and pilots.
The CDA is proficient in distributed computing principles and familiar with key architectures including Lambda and Kappa, data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of data stores (e.g., HDFS, Azure Data Lake Store, Azure Blob Storage, Azure SQL Data Warehouse, Apache HBase, Azure CosmosDB), messaging systems (e.g., Apache Kafka, Azure Event Hubs, Azure IoT Hub) and data processing engines (e.g., Apache Hadoop, Apache Spark, Azure Data Lake Analytics, Apache Storm, Azure HDInsight).
The ideal candidate will have experience in customer facing roles and success leading deep technical architecture and design discussions with senior executives.
Five plus years of experience with deep understanding of databases and analytics, including relational databases, data warehousing, big data, business intelligence and analytics.
Five plus years of success in consultative/complex technical sales and deployment projects. Technical BS degree in Computer Science or Math background desirable.
Examples of relevant project experience could include: Advanced analytics (including machine learning), database modernization, coordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios, document and share technical best practices, further customer investment, hybrid solutions on premises or in the cloud, industry-visible, large project relative to size of customer, lift and shift, migrations and upgrades (SQL, etc.), on-premises to cloud, production environment, projects where data is born in the cloud, cross-platform SQL Server migration, size of project team (complexity), significant challenges, IOT – Connected Devices, IOT- Command and Control, IOT- Data Ingestion, batch analytics, interactive analytics, real-time/streaming analytics.
Technical Skills Required
Business intelligence, capacity planning, cloud archival, cloud data analytics, cloud disaster recovery, cloud storage, cloud systems management, cloud systems operations, cloud transformation, data architecting, data cleansing, data migration (cross platform / upgrade), data modeling (physical and logical), data movement, data transformation, data warehouse design, database and server virtualization, database architecture, database design, database lifecycle management, database management, database tuning, diagnostics, distributed database design, HADR / replication, health checks, information architecture, information management, architecture design session, proof of concept design, technical demonstration, reporting services design and deployment, resiliency (clustering, etc.), scalability (up and out, high performance), mission critical DB design and architecture, monitoring, performance tuning, technical recommendations, problem solving.
Advanced analytics, analysis services (tabular, multi-dimensional), application architecture, application development, application lifecycle management (ALM), big data, in-memory database architecture, IoT, Kappa architectures, Lambda architectures, MapReduce, master data management, modern applications, polyglot resiliency, predicative analytics, security architecture, security compliance, technical migration upgrades, technology architecture, Non-Technical Skills Consultative sales, collaboration, stakeholder management, relationship management, technical oversight, risk management, program management, compliance (PCI, HIPPA, etc.), distributed application design, database sharding, data potency, distributed application development, event sourcing, identity and security,