Job Description :
Job Title Data Architect

Duration: 12+ Months

Location: J02 - 1801 MAIN ST Columbia SC

SCOPE OF THE PROJECT:



Seeking an expert Data Architect who will work as part of a team providing Data Management services for Medicaid Enterprise Systems modernization projects. She/he will actively participate in the delivery of Data Management tasks/activities.



DAILY DUTIES / RESPONSIBILITIES:



The Data Architect will help SCDHHS discover, monitor and manage information in vast amounts of data in order to make more valuable, data-based decisions to deliver the best solutions for Medicaid stakeholders.

The Data Architect will develop and review data models, apply data mining techniques, and do statistical analysis that will be integrated with both existing and future products and systems.

We are looking for candidates who are highly organized, can work independently in a fast-paced environment and can develop and manage data environments.


Key Responsibilities:

Understand the information needs of the enterprise with emphasis on executive information consumption and data that comes from or is provided to parties external to the enterprise
Develop and maintain an integrated, enterprise data model that represents essential data produced and consumed across the enterprise
Develop and maintain an enterprise-wide data management strategy
Develop, review, and approve data policies, standards, and procedures
Develop, review and monitor regulatory compliance for all data (including security)
Develop and maintain cross-references that map elements of the enterprise data model to organization, function, and process business models
Stay abreast of data management industry trends and data models and champions their potential to improve enterprise data management
Assist in the creation and management of data governance activities in alignment with portfolio management strategy
Required Skills:
Minimum of 10 years of experience in IT, with at least seven years in data architecture
Minimum 5 years Medicaid/MMIS or other healthcare information experience
Minimum 3 years of experience designing, developing, and implementing data management strategies
Experience with Service Oriented Architecture (SOA), web services, enterprise data management, information security, applications development, and cloud-based architectures
Hands-on experience implementing MDM, data integration, document management, BI, or data warehouse solutions
Experience in data modeling and database design
Understanding of common information architecture frameworks and information models


Desired Skills:

Familiarity with the DAMA International Guide to Data Management Body of Knowledge (DAMA DMBOK)
DAMA Certified Data Management Professional (CDMP)
Effective verbal and written communication skills, including the ability to produce written deliverables
Detailed knowledge of Medicaid, MMIS, and MITA concepts
Understanding of Agile development is a plus
Ability to analyze and resolve difficult data issues
Ability to communicate difficult concepts to technical and non-technical staff
Ability to communicate succinctly and accurately in written and verbal English
Ability to work effectively and efficiently under strict timelines
Must be a team player and a consistent, dependable performer with an excellent work ethic, flexible “can-do” attitude, and a results-driven commitment to success
Understanding of Systems Development Life Cycle (Waterfall or Agile development)
Knowledge of current and emerging technologies
Experience with any or all the following technologies is desirable for this position:
(The ideal candidate has experience in all of the following product categories with at least one of the corresponding vendor technologies)


Product Category Vendor Technology

Data Science & Viz R, RStudio, SPSS Modeler, SPSS, QlikView, MDX, Tableau, Anaconda Spyder, SAS, BIRT, SSAS, SAS EM
Ontology, Semantic Web
Modeling Magic Draw Visual Ontology Modeler, Smartlogic, RDF, RDFA, Turtle, SKOS, OWL, OWL2, SPARQL, Linked Data,
Neo4j, Open World Lexicography Assumptions, Ontology Frameworks, Revelytix, Protege
Architectural Modeling Magic Draw, Mega, Troux, IBM Rational, Sparx EA
UML Modeling MagicDraw Zachman and TOGAF, RUP, ArgoUML, RSA
Glossary, Models BG, ACORD Framework, Automotive All Divisions; Healthcare; Utility; Gas & Oil Process; GRC; Enterprise, Universal
Big Data, NoSQL Hortonworks, Cloudera, Intel, Sqrrl, Cassandra, MarkLogic, Couchbase, Cloudant, Alpine Labs, DataStax, MongoDB
Pivotal Platform HAWQ, Gemfire, Spring XD, MADlib, PivotalR, Greenplum, PostgreSQL, PL/R, Pythonu, plpy
Data Modeling IBM IDA, UML, ERwin, Sandhill, Rational Data Architect, Star Schema, Snowflake, Power-Designor, Navigator,
James Martin, IEF, IEW, 3rd Normal Form, ER/Studio, SA, RDA, ADRM, Big Data Modeling Techniques
ETL, ELT, ETML, EAI Sqoop, pig, Composite, Information Server, Custom, Informatica, ETI, Data Stage EE, SAS ETL, SSIS 2008; Talend
Data Profiling/Quality Exeros/ CA ERwin Data Profiler (now IBM Optim), Evoke AXIO (now Informatica Data Explorer), SAS, Profile Stage,
Information Analyzer, Talend Open Profiler; BODS Data Profiler, EIM, Information Steward; Trillium
Linguistic Algorithms R tm, NLTK, Gensim, SpaCy, Sense2vec, Triplets, Linguistics Analysis Services, NLP, CL, Collocation Analysis,
Generative Patterns, Dependency Grammars, SLING, DRAGNN, SyntaxNet, sonnet
Metadata MITI MIMB,Unicorn, IBM Metadata Workbench, MetaStage, Ron Ross, Platinum Repository, Global IDS
Database Pivotal Hawq, Hortonworks, Kudu, z/OS DB2, UDB DB2, SQL Server, Netezza, Oracle, MySQL, PostgreSQL
Graph Databases/Layers AllegroGraph, GraphLab/Dato, Giraph, Graphx, Neo4j
EDW/DM Methodologies Kimball Conformed Dimensions, Chris Adamson, Inmon CIF
ML, Data Mining R tm, NLTK, SAS EM, IBM Intelligent Miner, SQL Server Data Miner, Predixion
Programming Languages C, C++, C#, Python, SQL, Scala, Julia, J2EE, Perl, Bash, JMS, Ruby on Rails, Clojure, JavaScript
             

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