- 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 10+ 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
- 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.
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