DATA WAREHOUSE ARCHITECT, REMOTE, 2+ Years (Need someone who has worked with Unemployment Insurance and Disability Insurance data for states or state agencies)
Salary undisclosed
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Role - Datawarehouse Architect, REMOTE, 2+ Years
Duration: 2 years with an option for 5-year extension
Location: Remote Anywhere in US
Rate - w2 or c2c
Need someone who has worked with Unemployment Insurance and Disability Insurance data for states or state agencies.
Project Type: It is helping to stage testing data for a massive Mainframe modernization project
Mandatory Qualifications (M)
- A minimum of five (5) years of experience in data modeling, database design, and warehouse architecture.
- A minimum of five (5) years of experience working with program and technical staff to collaboratively define data needs and technical constraints related to warehouse architecture design.
- A minimum of five (5) years of experience contributing to the development of technical documentation such as System Architecture Diagrams, Security Architecture Diagrams, and Data Flow Diagrams.
- A minimum of five (5) years of experience working on a large-scale modernization project involving data conversion and migration projects over $50 million in budget.
- A minimum of five (5) years of experience maintaining or developing in a cloud database environment.
- A minimum of five (5) years of experience in data management and data security.
- A minimum of five (5) years of experience developing ETL/ELT (Extract Transform Load/Extract Load Transform).
- A minimum of five (5) years of experience developing in SL.
- A minimum of three (3) years of experience with Cloud Technologies in AWS (e.g. glue and lambda) and Snowflake.
- A minimum of three (3) years of experience working on a large-scale modernization projects involving data conversion and migration projects over $50 million in budget, designing and creating raw, integration, and presentation layers.
- A minimum of three (3) years experience working with Unemployment Insurance and Disability Insurance data.
- A minimum of five (5) years of experience designing and optimizing data warehouses and data lakes.
- A minimum of five (5) years of experience in automating workflows and data pipelines.
- A minimum of five (5) years of experience identify bugs and bottlenecks. Identify poor performance and optimize ELT/ETL pipeline.
- A minimum of five (5) years of experience in working with JSON, API, CSV, SL and Parquet files.
- Bachelor s degree in computer science, engineering, information systems, math or a technology- related field. Additional qualifying experience may be substituted for the required education on a year-for year basis.
Desirable Qualifications (D)
- Seven (7) or more years of experience in data modeling, database design, and warehouse architecture.
- Seven (7) or more years of experience working with program and technical staff to collaboratively define data needs and technical constraints related to warehouse architecture design.
- Seven (7) or more years of experience contributing to the development of technical documentation such as System Architecture Diagrams, Security Architecture Diagrams, and Data Flow Diagrams.
- Seven (7) or more years of experience working on large scale modernization project involving data conversion and migration projects over $50 million in budget.
- Seven (7) or more years of experience maintaining or developing in a cloud database environment.
- Seven (7) or more years of experience in data management and data security.
- Seven (7) or more years of experience developing ETL/ELT (Extract Transform Load / Extract Load Transform).
- Seven (7) or more years of experience developing in SL.
- Three (3) or more years of experience translating between different versions of SL.
- Five (5) or more years of experience with Cloud Technologies in AWS (e.g. glue and lambda) and Snowflake.
- Five (5) or more years of experience working on large-scale modernization projects involving data conversion and migration projects over $50 million in budget, designing and creating raw, integration, and presentation layers.
- Five (5) or more years of experience working with Unemployment Insurance and Disability Insurance data.
- Seven (7) or more years of experience designing and optimizing data warehouses and data lakes.
- Seven (7) or more years of experience in automating workflows and data pipelines.
- Seven (7) or more years of experience identify bugs and bottlenecks. Identify poor performance and optimize ELT/ETL pipeline.
- Seven (7) or more years of experience in working with JSON, API, CSV, SL and Parquet files.
- Master's degree in computer science, engineering, information systems, math or a technology-related field.
- Additional qualifying experience may be substituted for the required education on a year-for-year basis.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Role - Datawarehouse Architect, REMOTE, 2+ Years
Duration: 2 years with an option for 5-year extension
Location: Remote Anywhere in US
Rate - w2 or c2c
Need someone who has worked with Unemployment Insurance and Disability Insurance data for states or state agencies.
Project Type: It is helping to stage testing data for a massive Mainframe modernization project
Mandatory Qualifications (M)
- A minimum of five (5) years of experience in data modeling, database design, and warehouse architecture.
- A minimum of five (5) years of experience working with program and technical staff to collaboratively define data needs and technical constraints related to warehouse architecture design.
- A minimum of five (5) years of experience contributing to the development of technical documentation such as System Architecture Diagrams, Security Architecture Diagrams, and Data Flow Diagrams.
- A minimum of five (5) years of experience working on a large-scale modernization project involving data conversion and migration projects over $50 million in budget.
- A minimum of five (5) years of experience maintaining or developing in a cloud database environment.
- A minimum of five (5) years of experience in data management and data security.
- A minimum of five (5) years of experience developing ETL/ELT (Extract Transform Load/Extract Load Transform).
- A minimum of five (5) years of experience developing in SL.
- A minimum of three (3) years of experience with Cloud Technologies in AWS (e.g. glue and lambda) and Snowflake.
- A minimum of three (3) years of experience working on a large-scale modernization projects involving data conversion and migration projects over $50 million in budget, designing and creating raw, integration, and presentation layers.
- A minimum of three (3) years experience working with Unemployment Insurance and Disability Insurance data.
- A minimum of five (5) years of experience designing and optimizing data warehouses and data lakes.
- A minimum of five (5) years of experience in automating workflows and data pipelines.
- A minimum of five (5) years of experience identify bugs and bottlenecks. Identify poor performance and optimize ELT/ETL pipeline.
- A minimum of five (5) years of experience in working with JSON, API, CSV, SL and Parquet files.
- Bachelor s degree in computer science, engineering, information systems, math or a technology- related field. Additional qualifying experience may be substituted for the required education on a year-for year basis.
Desirable Qualifications (D)
- Seven (7) or more years of experience in data modeling, database design, and warehouse architecture.
- Seven (7) or more years of experience working with program and technical staff to collaboratively define data needs and technical constraints related to warehouse architecture design.
- Seven (7) or more years of experience contributing to the development of technical documentation such as System Architecture Diagrams, Security Architecture Diagrams, and Data Flow Diagrams.
- Seven (7) or more years of experience working on large scale modernization project involving data conversion and migration projects over $50 million in budget.
- Seven (7) or more years of experience maintaining or developing in a cloud database environment.
- Seven (7) or more years of experience in data management and data security.
- Seven (7) or more years of experience developing ETL/ELT (Extract Transform Load / Extract Load Transform).
- Seven (7) or more years of experience developing in SL.
- Three (3) or more years of experience translating between different versions of SL.
- Five (5) or more years of experience with Cloud Technologies in AWS (e.g. glue and lambda) and Snowflake.
- Five (5) or more years of experience working on large-scale modernization projects involving data conversion and migration projects over $50 million in budget, designing and creating raw, integration, and presentation layers.
- Five (5) or more years of experience working with Unemployment Insurance and Disability Insurance data.
- Seven (7) or more years of experience designing and optimizing data warehouses and data lakes.
- Seven (7) or more years of experience in automating workflows and data pipelines.
- Seven (7) or more years of experience identify bugs and bottlenecks. Identify poor performance and optimize ELT/ETL pipeline.
- Seven (7) or more years of experience in working with JSON, API, CSV, SL and Parquet files.
- Master's degree in computer science, engineering, information systems, math or a technology-related field.
- Additional qualifying experience may be substituted for the required education on a year-for-year basis.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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