Data Architect

Reposted 11 Hours Ago
Be an Early Applicant
Windsor, CT, USA
In-Office
53-55 Hourly
Expert/Leader
Artificial Intelligence • Information Technology • Internet of Things • Software • Automation
The Role
The Data Architect will design data solutions, develop models, support data strategy, mentor teams, and collaborate across projects, focusing on data management and architecture.
Summary Generated by Built In
Company Description

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.

Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.

Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps.

USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area – Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.

Job Description

Job Title: Data Architect

Duration: 6+ months

Location: Windsor, CT

Rate $55 – 60/hr on C2C or 1099 and $53/hr on W2 without benefits

Consultant need to work on USM W2

Job description:

Responsibilities:

· ​Support data strategy work and deliver designs & data models that enable our project.

· Design data solutions for complex projects.

· Collaborate with project teams to design end-to-end data solutions.

· Deliver data models supporting design conforming to an enterprise conceptual model.

· Align solutions to roadmaps for existing data mart and data management solutions across multiple business lines.

· Contribute to data strategies for the migration of legacy applications.

· Develop data reference architecture and promote those standards across the organization.

· Contribute to data tool standards and governance processes.

· Assist with evaluating data complexity for projects during project initiation.

· Assist with reviewing data designs, data models for projects during architectural review meetings.

· Maintenance of data dictionary and/or metadata repositories.

· Mentor project team members in the development of complex data/ETL/BI solutions.

· Partner with other data architects to influence and support data needs.

· Present and socialize data strategy with business and IT leaders

REQUIRED:

· Bachelor’s degree in Computer Science preferred.

· 10+ years’ experience in the area of data management, modeling, data analysis, and/or reporting.

· Strong technical documentation and technical writing skills.

· Prior experience with financial services, retirement, insurance, or medical records industry highly desirable.

· Expertise with Star, Snowflake, and 3NF data modeling techniques as well as data warehousing & data mart principles and methodologies.

· Hands on expertise with data modeling tools such as ERwin or Embarcadero ER Studio.

· Hands on experience working with relational databases such as Oracle, SQL Server, DB2, Sybase.

· Hands on experience working with ETL tools such as Informatica or SSIS.

· Familiarity with master data management tools and concepts.

· Familiarity with industry standard models like ACORD or IIA.

· Hands on experience with designing and modeling ODS/Warehouses.

· Expertise on dimensional modeling and slowing changing dimensions.

· Familiarity with BI tools like Business Objects, OBIEE, etc.

· Knowledge of Big Data technologies a plus.

· Ability to collaborate in a multi-site matrixed work environment.

· Proficient with enterprise architecture and data architecture concepts.

· Eagerness to learn new tools and technologies.

· Experience working in an agile or continuous improvement environment.

· Eagerness to learn new tools and technologies

Thanks & Regards

Mahesh Gunnam

USM Systems Inc.

703-880-4184

Additional Information

If my requirement matches your resume, then please do reply on my email id gmahesh@usmsystems(dot)com or can directly call me at 703-880-4184.

Skills Required

  • Bachelor's degree in Computer Science preferred
  • 10+ years of experience in data management, modeling, data analysis, and reporting
  • Expertise with Star, Snowflake, and 3NF data modeling techniques
  • Hands-on expertise with data modeling tools such as ERwin or Embarcadero ER Studio
  • Hands-on experience working with relational databases such as Oracle, SQL Server, DB2, Sybase
  • Hands-on experience working with ETL tools such as Informatica or SSIS

USM Business Systems Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about USM Business Systems and has not been reviewed or approved by USM Business Systems.

  • Fair & Transparent Compensation Pay is considered acceptable to good overall, with market-competitive figures evident in certain technical roles. Payroll is described as on time with straightforward arrangements, supporting baseline confidence in compensation.
  • Healthcare Strength Health coverage is characterized as solid in some contexts, including earlier mentions of free employer-paid insurance and a recent note of comprehensive benefits for certain employees. These experiences indicate pockets of strong medical coverage within the organization.
  • Wellbeing & Lifestyle Benefits Access to paid time off and some work-from-home flexibility is cited, contributing to a workable balance in select situations. These elements add practical lifestyle support even when other benefits are average.

USM Business Systems Insights

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The Company
HQ: Chantilly, VA
580 Employees
Year Founded: 1999

What We Do

USM is helping companies change existing business paradigms by bringing tomorrow’s AI and Automation solutions to today’s businesses. Disruptive new technologies are helping corporations become more agile, competitive and profitable. Predictive algorithms are provisioning customer orders more accurately than ever before. Cognitive technologies are enhancing the customer experience at every touch point and open-ledger validation methods are improving the accuracy of complex, global financial transactions. Automation is no longer a choice, it is the engine that drives business growth. Established in 1999 as an IT Consulting services company in the Washington DC metro area, the USM group of companies today consists of 1000+ employees across North America, Europe, Asia and Australia, providing a range of services such as * Automation & Innovation * Architecture & Consulting * Maintenance & Support * Contingent Workforce. Our experts are SMEs in the following critical business areas – data sources (internet devices), mobile commerce strategies, customer acquisition & retention and ultimately, leveraging enterprise data management to drive competitiveness. We have the resources that can help you design your enterprise architecture, build & deploy your applications, as well as manage your IT operations 24x7. Our focus areas include AI, Data science, RPA, Connected cars & devices, Natural language processing, Computer vision, Virtual agents, Blockchain, IoT, Mobile commerce, Retention programs, AR, VR, Gaming, and Enterprise data management.

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