Data architect

Posted 5 Days Ago
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Lansing, MI, USA
In-Office
Expert/Leader
Professional Services • Consulting • Industrial
The Role
Design and model enterprise data architectures, build data warehouses and BI solutions, manage metadata and MDM, define governance, collaborate with customers, and implement physical database designs across Oracle, SQL Server, DB2 and Teradata.
Summary Generated by Built In
Company Description

Founded in 2009 and headquartered in Ann Arbor, MI, TEKWISSEN™ provides a unique portfolio of innovative capabilities that seamlessly combines clients insights, strategy, design, software engineering and systems integration. Our tightly integrated offerings are tailored to each client’s requirements and span the services spectrum from Application Development/Maintenance, testing, Technology Consulting & staffing. The company is primarily focused on information technology, engineering, healthcare, financial technology and contingent workforce solutions. It operates in seven business segments including Commercial, Professional & Technical, EMEA Commercial, and EMEA Professional & Technical. The company provides professional and technical expertise in the fields of Telecom, Education, Banking, Retail, e-commerce, Automotive, Life Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting, recruitment, career transition, and vendor management services.
We strongly believe:
" If something cannot be measured, it cannot be managed. "
TEKWISSEN™ measures all of these processes and applies corrective interventions to manage the quality process at its core.
We are an Equal Employment Opportunity Employer M/F/V/D
Recognitions:
2015 -America’s Fastest Growing Company by Inc.com
2015- SPARK FastTrack Award from Ann Arbor SPARK
2015 -Honoree of Diversity Focused Company by Corp! Magazine
2014- America’s Fastest Growing Company by Inc.com
2014- Michigan 50 Companies to Watch
2014 – DiSciTech Award in Technology by Corp! Magazine
2014- DiSciTech TECHNOLOGY Company of the year by Corp! Magazine
2014- SPARK FastTrack Award from Ann Arbor SPARK
Specialties:
Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage Technologies, Development and Delivery, Business Intelligence, Telecommunications, Consulting and Planning, Network design, Implementation &Administration

Job Description

Hi ,

If you find the below description matching my profile , can contact me.

Job Title: Data Architect

Duration: 12+ Months

Location: Lansing, MI

Complete Description: 

IT professional with 16 years of experience in data architecture, data warehousing and business intelligence solutions, which includes diversified experience in data analysis, data modeling, physical database design and data warehousing, reporting solutions. My passion is business information that is analyzing, organizing and structuring data so that it can provide insight and add value to the business. Demonstrated competency in collaborating and delivering effective solutions for different size businesses, information service provider, banks and financial institutions. Data architecture and data modeling for transactional and data warehouse systems. Data modeling: conceptual, logical and physical modeling using Erwin, ER Studio and Power Designer. Implementation of data models onto different databases technologies such as Oracle, SQL Server, DB2 and Teradata. Data analysis on structured and unstructured data sets. Metadata management and master data Management MDM.

Skills:

Data Architect Experience                                                                      Required                             2

Database Design Experience                                                               Highly desired                     5

Data Modelling/Data Cleansing/ETL experience                              Required                              7

• Full Lifecycle Development                                                                    Required                               8

Business Analysis Experience                                                              Highly desired                       8

Business Process Engineering Experience                                       Highly desired                          8

• Experience working directly with customers/in a heavily customer-facing role      Required              5

Experience establishing best practices for Data Governance                              Required              2

• Exp building customer-centric data glossaries & change management workflows using standard governance tools (like IBM InfoSphere Data Governance)                                          Required                2

Experience developing Business Intelligence solutions                                         Required               5

  

Additional Information

Thanks & Regards,

B RajShekhar
Technical Recruiter.
   TEL : 734-259-2181 Ext: 286 
   Direct : 734.274.2151
   Fax : 734-468-0881
  

   Web : www.tekwissen.com



Skills Required

  • Data Architect experience
  • Database design experience
  • Data modeling, data cleansing and ETL experience
  • Full lifecycle development experience
  • Business analysis experience
  • Business process engineering experience
  • Customer-facing experience working directly with customers
  • Experience establishing data governance best practices
  • Experience building data glossaries and change management workflows using governance tools (e.g., IBM InfoSphere Data Governance)
  • Experience developing Business Intelligence solutions
  • Metadata management and Master Data Management (MDM)
  • Implementation experience on Oracle, SQL Server, DB2, Teradata
  • Data modeling tools: Erwin, ER Studio, Power Designer
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The Company
125 Employees
Year Founded: 2012

What We Do

STEM Xpert is a consulting engineering firm recognized in the engineering industry for its commitment to client service and passion for excellence. The firm provides specialized professional consulting services in the fields of science, technology, engineering, and mathematics (STEM).

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