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Enterprise Solutions Architect
2 months ago
Enterprise Solution Architect
Bachelor's Degree in related field required, Master's Degree preferred Microsoft Azure and/or AWS Cloud Solutions Architect certification preferred 10-12 years of hands-on technical experience
Strong background in architecture with real-world experience designing and delivering large IT projects.
Solution Architecture, Solution Strategies, Strategic Solutions, Technical Solutions - one or more of the following technology domains - Cloud, Cybersecurity, Software or Enterprise IT
5+ years industry experience coding commercial software and a passion for solving complex problems.
5+ years direct experience in Data Solutions with experience in tools such as:
Big data tools: Hadoop, Spark, Kafka, etc. • Relational SQL and NoSQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, Mongo, etc. •
Data pipeline and workflow management tools: Airflow, NiFi, etc. • AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents) • Data streaming systems: Storm, Spark-Streaming, etc. • Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. • Search tools: Solr, Lucene, Elasticsearch • Object- oriented/scripting languages: Python, Java, C++, Scala, etc. •
5+ Years of Experience architecting, designing, developing, and implementing cloud solutions
5+ Years of Experience with one or more clouds (i.e. AWS, Azure, or GCP)
5+ Years of Experience with Git SCM providers such as GitHub, GitLab, Bitbucket
5+ Years of Experience with development, integration and testing of APIs and cloud native technology
Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
Experience with DBOps and MLOps frameworks and exposure/understanding of DevOps
Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores.
Experience manipulating, processing, and extracting value from large, disconnected datasets.
Experience manipulating structured and unstructured data for analysis
Experience constructing complex queries to analyze results using databases or in a data processing development environment
Experience with data modeling tools and process
Experience architecting data systems (transactional and warehouses)
Experience aggregating results and/or compiling information for reporting from multiple datasets
Experience working in an Agile environment
Experience supporting project teams of developers and data scientists who build web- based interfaces, dashboards, reports, and analytics/machine learning models
EOE:
Our client is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at our client are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.
