*Hi *

*Please find below details for the position of Data Architect send me your
updated resume.*



*Position:                             Data Architect*

*Location:                             **Malden, MA*

*Duration                              6+ months. Extends every 6 months*

*Interview:                           phone then Face to Face*



*POSITION OVERVIEW:*

 The Client has several new initiatives underway and has a need to insure
that the applications are adhering to data standards and are fully
integrated between these systems and any gaps are identified. Client is
seeking a seasoned Data Architect who will be reviewing, designing,
developing, and implementing data models for enterprise-level applications
and systems. The candidate must have experience in data warehouse models in
addition to OLTP models, these models shall be architected at the following
layers: conceptual, logical, physical, subject area, and application.

Under general supervision, the Data Architect shall provide strategic level
technical leadership for the data architecture and must be able to perform
hands on analysis and modeling. He or she must clearly understand business
objectives, translate them into data models and communicate these data
models to business and technical stakeholders verbally, in writing, and
electronically. He or she needs to be able to understand the different
standards in the Education domain CEDS, ED-FI, SIF, models and provide
guidance to technical staff, project managers and insure vendors adhere to
the standards. Through the development of reliable and stable data models,
master data management, metadata management, and data quality assurance
initiatives, the Data Architect will oversee the technical design of the
Enterprise Data Architecture. He or she will define data modeling
methodologies, standards, and tools. In collaboration with other
stakeholders, the Data Architect shall define data interface and messaging
standards for client systems to integrate systems internally and externally.

*RESPONSIBILITIES:*

*Strategy & Planning*

1.  Develop and deliver long-term strategic goals for data architecture
vision and standards in conjunction with data users, department managers,
clients, and other key stakeholders
2. Assess and determine governance, stewardship, and frameworks for
managing data across the organization

3. Oversight of design implementation, providing assurance that key
requirements are preserved and those gaps are understood and communicated
to stakeholders as appropriate.

4. Ensures design governance across projects, applications and
infrastructure.
5. Create short-term tactical solutions to achieve long-term objectives and
an overall data management roadmap
6. Establish processes for governing the identification, collection, and
use of corporate metadata; take steps to assure metadata accuracy and
validity
7. Establish methods and procedures for tracking data quality,
completeness, redundancy, and improvement
8. Conduct data capacity planning, life cycle, duration, usage
requirements, feasibility studies, and other tasks
9.  Ensure that data strategies and architectures are in regulatory
compliance

10. Ensure the success of enterprise-level application rollouts (e.g., P20
data warehouse, Common Core standards, PARCC etc.) from the data
architecture, standards, and quality perspective


*Operational Management*

1.  Develop and promote data management methodologies and standards
2 .Select and implement the appropriate methodologies, standards, tools,
software, applications, and systems to support data technology goals
3. Oversee the mapping of data sources, data movement, interfaces, and
analytics, with the goal of ensuring data quality
4. Collaborate with project managers and business unit leaders for all
projects involving enterprise data
5. Address data-related problems in regards to systems integration,
compatibility, and multiple-platform integration
6. Act as a leader and advocate of data management, including coaching,
training, and career development to staff
7. Develop and implement key components as needed to create testing
criteria in order to guarantee the fidelity and performance of data
architecture
8. Document the data architecture and environment in order to maintain a
current and accurate view of the larger data picture
9.Identify and develop opportunities for data reuse, migration, or
retirement
10. Analyze and mine business data to identify patterns and correlations
among the various data points
11. Develop integration process data flows and data mapping analyses

*Education and Experience Level*

   1. Sensitivity to interpersonal, organizational and political
   challenges, and an understanding of how to navigate them effectively.
   2. Bachelor’s Degree in Computer Science, Information Systems or
   Business Administration
   3. 7or more years of data or information architecture experience,
   preferably in an education environment
   4. 5 years of work experience with data architecting, large-scale data
   modeling, and business requirements gathering/analysis
   5. Direct experience in implementing enterprise data management
   processes, procedures, and decision support
   6. Strong understanding of relational, dimensional and object-oriented
   data structures, theories, principles, and practices
   7. Strong familiarity with master data and metadata management and
   associated processes
   8. Hands-on knowledge of enterprise repository tools, data modeling
   tools, data mapping, tools, data profiling tools, and data and information
   system life cycle methodologies
   9. Experience with Oracle ODI, Oracle Profiling and data quality
   10. Understanding of Education Data Interoperability standards
   11. Excellent client/user interaction skills to determine requirements
   and the ability to present ideas to various audiences in user-friendly
   language
   12. Proven project management experience
   13. Good knowledge of applicable data privacy practices and laws (FERPA)
   14. Technical leadership and mentoring skills.
   15. Experience with dimensional modeling and architecture experience
   implementing proper data structures for analytical reporting from an
   enterprise data warehouse.
   16. Experience with Oracle Exadata a plus.











Thanks and have a great day



*Ranjeet Kumar*

*Technical Recruiter*

*Srimatrix Inc.*

*Phone No. 469.320.9415*

*Email: rku...@srimatrix.com <rku...@srimatrix.com>*

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