Cloud Data Architect
Cloud Data Architect
We are a technology services firm helping clients transform their business through the power of the cloud. We leverage Microsoft Azure to help clients speed up innovation, operate more efficiently and be more responsive to their client’s needs. As a Microsoft partner, we specialize in Azure migration, cloud-scale custom application development, Internet of Things, analytics, and devops achieved through Azure-enabled infrastructure automation.
A Cloud Data Architect (DA) drives client initiatives leveraging Azure data and analytics services (e.g., ranging from SQL Server to Azure SQL Database and Azure SQL Data Warehouse to Cortana Intelligence Suite) to solve the biggest and most complex data challenges faced by enterprise clients. The DA is a technical, client facing role, accountable for the end-to-end client deployment and usage experience for Azure data services. DAs own the Azure technical client engagement including: architectural design sessions, implementation projects and/or proofs of concept and pilots.
The Cloud Data Architect is proficient in distributed computing principles and familiar with key architectures including Lambda and Kappa architectures, 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).
A Cloud Data Architect will participate in technical envisioning, technical design, and delivery for their assigned projects.
· Work with other architects to support project efforts from a technical perspective.
· Execute designed solution into client environment.
· Scope and estimate work for presales engagements and existing project work.
· Lead design and deployment of the client’s workloads into Azure.
· Mentor more junior team members in data architecture and data platform technology implementation.
- Passion for client experience and for consulting as a vehicle to help clients achieve their goals.
- Ability to serve as strategic advisor and/or sounding board in technology conversations.
- Experience in client facing roles and success leading deep technical architecture and design discussions with senior executives.
- Five or more years of experience with deep understanding of databases and analytics, including relational databases, data warehousing, big data, business intelligence and analytics.
- Five or more years of success in consultative/complex technical sales and deployment projects.
- Technical BS degree in Computer Science or Math background is desirable.
- Attention to detail, and insistence on excellence and “getting it right the first time.”
- Excellent oral and written communication skills.
The Cloud Data Architect requires experience in the following technologies: SQL Server (SSIS, SSRS, SSAS), T-SQL, Azure SQL Database, SQL Server IaaS.
The Cloud Data Architect also requires the following technical capabilities: 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.
The Cloud Data Architect is preferred to have experience with any/all of the following technologies: Power BI, Azure SQL Data Warehouse, AML, Analytics, Azure Active Directory, Azure Data Catalog, Azure Data Factory, Azure Data Lake, Azure Storage, Azure Document DB, Azure Cosmos DB, Azure Import/Export, Azure HDInsight, Azure Machine Learning, Azure Search, Azure Stream Analytics, Azure Event Hubs, Azure IoT Hub, Azure Web Jobs, Azure Cognitive Services, BizTalk, SQL Server on Linux, Revolution R.
The Cloud Data Architect is preferred to have expertise in any of the following areas: 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.
Certification is not required for the Cloud Data Architect, but any of the following certifications are a plus: MCSE Business Intelligence, MCSA Cloud Platform Solutions Associate, MCSA Linux on Azure Solutions Associate, MCSE Cloud Platform and Infrastructure, MCSE Data Management and Analytics, AWS Certified Solution Architect, AWS Certified Developer, AWS Certified Developer, Big Data, Certified Analytics Professional, Certificate in Engineering Excellence Big Data Analytics and Optimization (CPEE), Cloudera Certified Developer, Cloudera Certified Specialist, Data Warehousing, IBM Certified Data Architect/Engineer, Mining Massive Datasets Graduate Certificate (Stanford), Oracle, Salesforce.com, SAP, SAS Certified Big Data Professional Project.