Job Description :
Job Title: Azure Cloud Architect Location: Oakland, CA Duration: Contract Job Description: Minimum of 5 years leading teams Bachelor's Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) or equivalent work experience Minimum of 15+ years overall IT industry experience Minimum of 3+ years in a solution architecture role using service and hosting solutions such as private/public cloud IaaS, PaaS and SaaS platforms. Experience in architecting and designing technical solutions for Microsoft-centric solutions based on industry standards using Azure IaaS, PaaS and SaaS capabilities. Experience with any of the following: O365, Azure, Azure Stack, Azure AD Experience with claims based authentication (SAML/OAuth/OIDC), MFA, and RBAC Knowledge of cloud security controls including tenant isolation, encryption at rest, encryption in transit, key management, vulnerability assessments, application firewalls, SIEM, etc. Experience building and supporting mission critical technology components with DR capabilities Experience with multi-tier system and service design and development for large enterprises Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies aDesired Qualifications Experience with configuration management and automation tools such as Ansible, DSC, Puppet, Chef, Salt, etc. Experience with relational, graph and/or unstructured data technologies such as SQL Server, Azure SQL, Azure Data Lake, HD Insights, Hadoop, Cloudera, MongoDB, MySQL, Neo4j, Cassandra, Couchbase Software development full lifecycle methodologies, patterns, frameworks, libraries and tools Knowledge of programming and scripting languages such as JavaScript, PowerShell, Bash, SQL, .NET, Java, Python, PHP, Ruby, PERL, C++, etc. Experience with data ingestion technologies such as Aspera, MoveIT, Azure Data Factory, SSIS, Pentaho, Alteryx Experience with visualization tools such as Tableau, Spotfire, Power BI, D3, Scrapinghub Experience with analytics tools including SPSS Experience with machine learning tools such as Azure ML, IBM, AWS, etc. Experience in distilling complex technical challenges to actionable decisions for stakeholders and guiding project teams by building consensus and mediating compromises when necessary. Experience coordinating the intersection of complex system dependencies and interactions Experience in solution delivery using common methodologies especially SAFe Agile but also Waterfall, Iterative etc. Demonstrated knowledge of relevant industry trends and standards