Location: Multiple Positions - Phila. PA, Houston, TX and San Ramon, CA
Duration: 12+ Months
Client/Domain: Pharma, Oil & Gas
Job Type: Contract
Experience: 15+ years
Primary Skills: Big Data, DWH, BI Reporting, AI/ML/Data Science, Hybrid Cloud Solutions, GCP, Azure, AWS tech stacks
Immediate Interview and Start
Remote work possible
Enterprise Solutions Architect with Azure
This is a Global Executive Role - to shape the broad analytic vision for the business group, ensure alignment across stakeholders, and facilitate progress.
Identify opportunities and partner with business executives to set priority, manage expectations, facilitate change needed to activate insights, and measure impact.
Shape and nurture the vision and practice of the global data strategy and engagement team
Establish best practices for big-data technologies.
15+ years overall IT industry experience. At least 10+ years in a solution architecture role within areas of DWH, BI Reporting, Big Data, Data Quality & Governance, AI/ML/Data Science and Hybrid Cloud Solutions. 4+ years in a cloud data platform architecture with hands on experience leveraging Microsoft Azure and preferably also in GCP and AWS tech stacks.
Predictive and prescriptive analytics: Azure Stream Analytics, Azure Analysis Services, Data Lake Analytics, HDInsight, HDP, Spark, Databricks, MapReduce, Pig, Hive, Tez, SSAS.
Operations: OLTP, OLAP, DW and NoSQL data storage technologies such as SQL Server, Azure SQL, Azure SQL DW, Azure Data Lake Store, Hadoop, HBase, Hive, PostgreSQL, CosmosDB, MongoDB, MySQL, Neo4j, etc.
App Service: Azure IaaS & PaaS services (App Service, Service Bus, Azure Functions, Logic Apps, Azure AD, Azure Kubernetes Service (AKS), Docker, Azure API Manage, Azure Storage, Azure SQL Server).
AI, Cognitive & Data Science technologies: Azure Machine Learning, Cognitive Services, Text Analytics API, Face API, Computer Vision API, Bot Service, Azure Notebooks, Anaconda, Jupyter, TensorFlow, R, Neural Networks, NLP, NLG, TTS etc. Delivery methodologies: Agile and CI/CD. Hands on experience in implementing DevOps automation using Azure DevOps Services (VSTS), Git, Jenkins, Docker etc.