Data Architect

Job Description:
The Data Architect’s role is to plan, coordinate and supervise all
activities related to the design, development and implementation of organizational
information systems and data. The Data Architect will work with the business systems
architects and application developers to streamline data governance, data cleansing,
data normalization, and usage patterns. The Data Architect will apply proven
communication skills, problem-solving skills, and knowledge of best practices to
guide the data team on issues related to the design, development, and deployment of
mission-critical information and business intelligence solutions, including, but not
limited to, the Enterprise Data Warehouse, Data Governance Process, Reporting,
Dashboards, etc..The Data Architect designs and implements robust and scalable
solutions to establish and maintain data across all corporate environments. The Data
Architect identifies user requirements by researching and analyzing business needs,
preferences, goals and objectives and translating these into data structures and
elements. The Data Architect develops and implements data solutions in support of
the enterprise data warehouse and business intelligence environments that provide
value-added services and enables data identification, cleansing and validation to
meet industry best practices for management and security. The Data Architect
documents data workflow diagrams, user scenarios, flowcharts, and storyboards and
prepares data specifications, organization of data, and high-level information
architecture documentation. The Data Architect collaborates with Business and
Information Technology to develop the data design and solution, as well as, with the
Enterprise Architect to align with the strategy and roadmap for the enterprise
solutions.ESSENTIAL FUNCTIONS:•        Lead and manage data management, data lakes,
data governance projects through all phases of the project lifecycle from planning,
blueprint planning, requirements gathering, design, development, testing, and go
live.•        Ensure that data development projects meet business requirements and
goals, fulfill end-user requirements, and identify and resolve systems issues.•     
  Perform data evaluation, identification of potential problem areas and make the
appropriate recommendations.•        Collaborate with business system architects,
designers, and system owners in the testing of new/enhanced data solutions.•       
Manage and provide direction for the data team in support of business operations.•  
     Liaise with network administrators and software engineers to assist with
quality assurance, program logic, and data processing.•        Identify and resolve
data errors.•        Provide data leadership and knowledge to project managers and
programmers working on solution development.•        Review and analyze existing
data solutions’ effectiveness and efficiency, and then develop strategies for
improving or leveraging data governance, definition and usage patterns.•       
Design, develop and install enhancements and upgrades to data solutions.•       
Research and make recommendations on data products and services in support of
procurement and development efforts.•        Ensure that any new data solution meets
functional requirements, system compliance and interface specifications.•       
Cultivate, disseminate and enforce functional policies, procedures, and quality
assurance best practices for data.Requirements:•        Experience with Master Data
Management (MDM), Data Visualization, Data retention strategies, ETL, OLAP for both
structured and unstructured data.•        Extensive experience in data modeling,
both logical and physical.•        Experience in SQL Server SSIS.•        Knowledge
of medical claims, insurance, clinical data is desirable•        Extensive
experience providing practical direction on information and analytics platforms in
conjunction with EDW tools and technologies•        Experience with Data Warehouse
and BI systems; extensive experience for collecting business requirements from
customers, and transform the requirements into DB data processes and data schema.