Job Description
Job Description
TITLE : SOLUTIONS ARCHITECT
TYPE : PERMANENT
LOCATION : CYPRESS, CA
WORK SCHEDULE : HYBRID
INDUSTRY : MANUFACTURING AND DISTRIBUTION; PUBLICLY TRADED
COMPENSATION : $125,000 - $160,000 BONUS
- CLIENT IS NOT OFFERING SPONSORSHIP FOR THIS POSITION
COMPANY INFO
Our client is a Fortune 500 company. They are a leader in their industry, manufacturing and distributing discrete goods for the building industry.
Great company culture with emphasis on collaboration and team buildingGrowth opportunityMinimal outsourcingROLE : The Solutions Architect establishes data-related development and platform architectural design standards, policies, and procedures throughout the organization. In addition, the Solutions Architect will lead the design, development and management of Consolidated Data Warehouse and data applications, ensuring that architectural standards and best practices are followed.
JOB FUNCTION :
Assemble large, complex datasets that meet functional / non-functional requirements to develop custom data models and algorithms for applying to datasetsMine and analyze data from modeling and simulation exercisesStudy and describe the infrastructure required for optimal pulling, pushing, transformation, and loading of data from a wide variety of data sources using SQL, XML and other technologiesKeep data secure using industry standards and strategies for securityCreate data tools for analytics and data scientist team membersAssess the effectiveness and accuracy of new data sources and data gathering techniquesProvide technical support in the research, experimentation, business analysis, and use of systems technology, including architecture, integration capabilities, and database managementConduct data analysis and modeling to design medium to complex systems utilizing multiple technologies, including integrations with external systemsCollect and curate data from disparate sources to perform data wrangling to clean, prepare, and standardize data for consumptionPerform data profiling, classification, mappings, and integrity analysis to standardize and curate as part of the data onboarding process.EXP NEEDED :
Bachelor's Degree in Computer Science, Mathematics, Engineering or equivalent work experience in a related field required5 years' data warehouse analysis and design required5 years' experience with data integration and / or data quality technologies requiredDemonstrated experience establishing enterprise-wide data governance policies and procedures requiredExpertise in Enterprise Data Architecture and data modeling requiredDeep understanding of the data warehouse, data lake, data farms and other data repositories requiredDeep understanding of the master data, transactional data and legacy data structures requiredAdvance knowledge of creating analytical data warehouses and data warehouse management requiredExperience with unstructured and semi-structured data preferredDemonstrated experience establishing master data management policies and procedures, Snowflake database management preferredDemonstrated experience in development of data models of new and reverse engineering of data models from legacy ERP systems preferredAdvance knowledge of Cloud IaaS architectural design, workflow, and implementation using Azure, AWS, or Google Cloud preferredDemonstrated experience in developing advance machine learning and business intelligence solutions to deliver outcome driven insights preferredDemonstrated experience in the implementation and usage of Hadoop, Hive, Pig, and Spark cluster environments preferredDemonstrated experience with SQL, JSON, Scala, Python and R language data development preferredDemonstrated experience developing best practices in data wrangling and Big Data environments preferred
Salary : $125,000 - $160,000
