Technical Solutions Architect Visa Sponsorship Jobs in Delaware
Delaware's technical solutions architect roles are concentrated around Wilmington, where major financial services firms like JPMorgan Chase, Bank of America, and Citigroup maintain significant operations, alongside life sciences companies in the Newark corridor. The state's corporate-friendly environment and proximity to Philadelphia expand the employer pool considerably for internationally qualified architects seeking sponsorship.
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Get Access To All JobsCompany Description
Implify, Inc is a Global IT Solutions and services firm. Since its inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.
IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry.
Job Description
Position: 1
Job Title: Analytics – Principal Consultant
Travel: 100% Travel
Duration: Full Time Permanent
BASIC QUALIFICATIONS
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
Must Have Skill/Competency:
- Domain – Retail and/or CPG domain Knowledge
- Retail Execution – Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement
- Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting
- Data Understanding of Sales, Inventory, Store, Product and Promotion Data
- Ability to translate business requirement to analytical model
- Communicate directly with business users
- Technical Skills – SQL, Advanced Excel, R/SAS Hadoop, Spark, Python Tableau/Spotfire/Qlikview
Nice to have Skill/Competency:
- Hadoop, Spark, Python
- Tableau/Spotfire/Qlikview
- Nielsen/IRI/Market Research Data understanding
Job responsibilities:
- Understand business requirement from client and translate it to appropriate Analytics use cases
- Work in a team environment to deliver analytics solution to client
- Define new business metrics as required and build measurement systems as needed
- Enjoy designing, develop and deploy state of the art, data-driven predictive models
- Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling
- Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems.
Position: 2
Job Title: Analytics – Data Scientist - Architect
Travel: 100% Travel
Duration: Full Time Permanent
Skillset: Analytics
Domain: Business Intelligence
BASIC QUALIFICATIONS
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
PREFERRED QUALIFICATIONS
- MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics
- 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms
- Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software
- Knowledge of Perl, Python or Ruby; experience with Java, C or C++
- Experience with Apache Spark and Scala
- Knowledge of Clojure or Julia for statistical learning and optimization algorithms
- Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc.
- Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing
Job responsibilities
- Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data
- Define new business metrics as required and build measurement systems as needed
- Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems.
- Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities
- The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Company Description
Implify, Inc is a Global IT Solutions and services firm. Since its inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.
IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry.
Job Description
Position: 1
Job Title: Analytics – Principal Consultant
Travel: 100% Travel
Duration: Full Time Permanent
BASIC QUALIFICATIONS
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
Must Have Skill/Competency:
- Domain – Retail and/or CPG domain Knowledge
- Retail Execution – Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement
- Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting
- Data Understanding of Sales, Inventory, Store, Product and Promotion Data
- Ability to translate business requirement to analytical model
- Communicate directly with business users
- Technical Skills – SQL, Advanced Excel, R/SAS Hadoop, Spark, Python Tableau/Spotfire/Qlikview
Nice to have Skill/Competency:
- Hadoop, Spark, Python
- Tableau/Spotfire/Qlikview
- Nielsen/IRI/Market Research Data understanding
Job responsibilities:
- Understand business requirement from client and translate it to appropriate Analytics use cases
- Work in a team environment to deliver analytics solution to client
- Define new business metrics as required and build measurement systems as needed
- Enjoy designing, develop and deploy state of the art, data-driven predictive models
- Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling
- Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems.
Position: 2
Job Title: Analytics – Data Scientist - Architect
Travel: 100% Travel
Duration: Full Time Permanent
Skillset: Analytics
Domain: Business Intelligence
BASIC QUALIFICATIONS
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
PREFERRED QUALIFICATIONS
- MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics
- 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms
- Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software
- Knowledge of Perl, Python or Ruby; experience with Java, C or C++
- Experience with Apache Spark and Scala
- Knowledge of Clojure or Julia for statistical learning and optimization algorithms
- Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc.
- Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing
Job responsibilities
- Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data
- Define new business metrics as required and build measurement systems as needed
- Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems.
- Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities
- The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Technical Solutions Architect Job Roles in Delaware
See all 44+ Technical Solutions Architect Jobs in Delaware
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Search Technical Solutions Architect Jobs in DelawareTechnical Solutions Architect Jobs in Delaware: Frequently Asked Questions
Which companies sponsor visas for technical solutions architects in Delaware?
Financial services companies headquartered or operating in Wilmington, including JPMorgan Chase, Bank of America, and Capital One, are among the more active H-1B visa sponsors for technical solutions architect roles in Delaware. Life sciences firms near Newark and Wilmington, such as those in the AstraZeneca ecosystem, also sponsor for senior technical roles. Corporate law and consulting firms with Delaware operations round out the typical sponsoring employer base.
Which visa types are most common for technical solutions architect roles in Delaware?
The H-1B is the most common visa category for technical solutions architects in Delaware, given that the role typically requires a bachelor's degree or higher in computer science, engineering, or a related technical field, satisfying the specialty occupation standard. L-1A and L-1B visas appear for candidates transferring within multinational firms with Delaware offices. Australians may pursue the E-3 visa, and Canadian and Mexican nationals may qualify under the TN visa category.
Which cities in Delaware have the most technical solutions architect sponsorship jobs?
Wilmington is by far Delaware's primary market for technical solutions architect positions, driven by its concentration of financial services headquarters and large technology operations. Newark, home to the University of Delaware and a growing life sciences corridor, represents the secondary market. Dover sees occasional demand from state government contractors and defense-adjacent technology firms, though the volume there is considerably lower than in Wilmington.
How to find technical solutions architect visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify technical solutions architect roles in Delaware where employers are open to sponsoring international candidates. Because Delaware's market is concentrated in Wilmington's financial services sector, filtering by industry alongside role type on Migrate Mate helps surface the most relevant opportunities and avoid positions at companies with no documented sponsorship history.
Are there state-specific considerations for technical solutions architects pursuing sponsorship in Delaware?
Delaware's incorporation-friendly legal environment means many Fortune 500 companies are legally domiciled here, which can create a gap between a company's registered state and its actual hiring locations. When evaluating Delaware postings, confirm the physical work location, since prevailing wage determinations for H-1B Labor Condition Applications are tied to the actual work site, not the employer's state of incorporation. Proximity to Philadelphia also means some roles span both markets.
What is the prevailing wage for sponsored technical solutions architect jobs in Delaware?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.