Role :
Data Architect
Location
: MN
Experience
: 10+ years atleast 2years architect experience is must.
Duration
: 12Months+
Rate :
60-65$/hr on C2C incl all
Job Description:
Technical Architect
is a hybrid position as compared to larger shops in the industry. It combines
the role of architect, consultant, troubleshooter, extract, transform and load
(ETL), application developer and EAI expert into a single position. However
depending on the domain (Application, Data, System, Security), level of
expertise may vary.
1.Define, analyze, and review architecture and technical requirements.
2.Involve and recommend enterprise’s server hardware, operating system for the enterprise data warehouse.
3.Participates in the drafting of Service Level Agreements (SLA).
4.Lead a team of developers and mentor junior team members.
5.Involve in enterprise application integration (EAI). This includes defining the opportunities for integration, selecting the tools, specifying the shared data & code resources, defining the interfaces and data-flows, and monitoring the success of said integration.
6.Responsible for defining the application tiers, frameworks, components types and interfaces. Also, creates the first-draft graphical template of UML design models used by the Project Architects.
7.Specifies and provides ownership of reusable application components or reusable application code.
8.Sets Data Policy and the technical solution for the management, storage, access, navigation, movement, and transformation of data.
9.Specifies recommended DBMS and ETL tools and technologies for structured and unstructured content.
10.Reviews the policies and work of the Data Base Administrators.
11.Provide framework, stewardship, governance, and decision making for the management of enterprise data for project development teams, business users and other stake-holders.
12.Balance short-term versus long-term actions, strategic versus tactical requirements, while continuing to move forward towards the strategic vision; participate in the road map to achieve the vision.
13.Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and data movement across the enterprise.
14.Provide architectural solutions covering data structures, sourcing, integration, security, and retention
15.Define governance and best practices around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, reusability, and consistent definitions for common reference data.
16.Elicit requirements and translate the requirements into models by building conceptual, logical and physical data models.
17.Involve in data roadmap, current / target state for enterprise data.
EDUCATION/EXPERIENCE:
Education Level: Bachelor's Degree
Major: BS in Computer Science or related field MS a plus
Years of experience required: 12 years minimum experience in software development and database applications with a majority of this experience in data strategy, souring, modeling, integration, and architecture. 3 years minimum managing Agile development methodologies for data warehouse projects.
Specific types of experience required:
•Experience in data analysis, data profiling, data integration, and data quality.
•Provide framework, stewardship, governance, and decision making for the management of enterprise data for project development teams, business users and other stake-holders.
•Balance short-term versus long-term actions, strategic versus tactical requirements, while continuing to move forward towards the strategic vision; participate in the road map to achieve the vision.
•Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and data movement across the enterprise.
•Provide architectural solutions covering data structures, sourcing, integration, security, and retention.
•Experience in data analysis, data profiling, data integration, and data quality.
•Define governance and best practices around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, reusability, and consistent definitions for common reference data.
•Experience in tuning DataWarehouses.
•Extensive experience in creating data warehouses, data marts, and modeling (3NF and dimensional).
•Data modeling experience creating both dimensional and relational models; ERWIN experience is preferred.
•Advanced knowledge of SQL, database performance, RDBMS, and Query tools.
•Prior experience in ETL, reporting and analytics, and business intelligence tools is preferred
•Prior experience in health care domain is preferred.
•Prior experience using Agile Development for Data Warehouse projects
•CBIP (certified business intelligence professional) from TDWI is nice to have.
1.Define, analyze, and review architecture and technical requirements.
2.Involve and recommend enterprise’s server hardware, operating system for the enterprise data warehouse.
3.Participates in the drafting of Service Level Agreements (SLA).
4.Lead a team of developers and mentor junior team members.
5.Involve in enterprise application integration (EAI). This includes defining the opportunities for integration, selecting the tools, specifying the shared data & code resources, defining the interfaces and data-flows, and monitoring the success of said integration.
6.Responsible for defining the application tiers, frameworks, components types and interfaces. Also, creates the first-draft graphical template of UML design models used by the Project Architects.
7.Specifies and provides ownership of reusable application components or reusable application code.
8.Sets Data Policy and the technical solution for the management, storage, access, navigation, movement, and transformation of data.
9.Specifies recommended DBMS and ETL tools and technologies for structured and unstructured content.
10.Reviews the policies and work of the Data Base Administrators.
11.Provide framework, stewardship, governance, and decision making for the management of enterprise data for project development teams, business users and other stake-holders.
12.Balance short-term versus long-term actions, strategic versus tactical requirements, while continuing to move forward towards the strategic vision; participate in the road map to achieve the vision.
13.Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and data movement across the enterprise.
14.Provide architectural solutions covering data structures, sourcing, integration, security, and retention
15.Define governance and best practices around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, reusability, and consistent definitions for common reference data.
16.Elicit requirements and translate the requirements into models by building conceptual, logical and physical data models.
17.Involve in data roadmap, current / target state for enterprise data.
EDUCATION/EXPERIENCE:
Education Level: Bachelor's Degree
Major: BS in Computer Science or related field MS a plus
Years of experience required: 12 years minimum experience in software development and database applications with a majority of this experience in data strategy, souring, modeling, integration, and architecture. 3 years minimum managing Agile development methodologies for data warehouse projects.
Specific types of experience required:
•Experience in data analysis, data profiling, data integration, and data quality.
•Provide framework, stewardship, governance, and decision making for the management of enterprise data for project development teams, business users and other stake-holders.
•Balance short-term versus long-term actions, strategic versus tactical requirements, while continuing to move forward towards the strategic vision; participate in the road map to achieve the vision.
•Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and data movement across the enterprise.
•Provide architectural solutions covering data structures, sourcing, integration, security, and retention.
•Experience in data analysis, data profiling, data integration, and data quality.
•Define governance and best practices around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, reusability, and consistent definitions for common reference data.
•Experience in tuning DataWarehouses.
•Extensive experience in creating data warehouses, data marts, and modeling (3NF and dimensional).
•Data modeling experience creating both dimensional and relational models; ERWIN experience is preferred.
•Advanced knowledge of SQL, database performance, RDBMS, and Query tools.
•Prior experience in ETL, reporting and analytics, and business intelligence tools is preferred
•Prior experience in health care domain is preferred.
•Prior experience using Agile Development for Data Warehouse projects
•CBIP (certified business intelligence professional) from TDWI is nice to have.
Other tips for
recruiting:
PLEASE ONLY
SUBMIT 2 BEST CANDIDATES!
Most Critical Skills or
Attributes: Must have superb communication skills as this person will
have a lot of interaction with the business. Will be working on a new
project with Health Rules Integration but will also be a key contributor to a 9
person Data Architecture team. Must have outstanding troubleshooting
skills and expert level SQL skills.
Differentiators (ex.
Certifications, industries, technologies required)
ArimaaForce LLC
USA & India
resumes@arimaaforcellc.com
