On W2 - Data Architect with Medicaid Medicare - Remote
Posted on :
22-05-2024
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
22-05-2024
Job Description
Hello
KINDLY CHECK THE RATE PART BEFORE REPLYING.
Position: Sr. Health Data Architect
Location: Remote
Duration: 12 months Contract to Hire
Pay Rate: $55/hr. On W2(AI) We can discuss on this
Client is currently seeking a handson Senior Health Data Architect to support our AL EDW within the Enterprise Datawarehouse and Analytics group. The Data Architect will work with large healthcare datasets and will translate clients business requirements into enterprise systems applications or process designs for large complex health data solutions. The role will drive and support initiatives for the HI EDW as well as participate in the wider EDW groups areas of data usage and governance information management privacy and security SOA data analytics and visualization and information modeling.
Top Skills Needed:
- Expertise in Data Architecture Data Strategy and Roadmap for large and complex health entity and systems and implemented large scale endtoend Data Management & Analytics solutions for more than one large client.
- Strong knowledge of regulatory security requirements regarding HIPPA PHI PII and other health care data security standards.
- Strong Healthcare domain knowledge of Medicaid Medicare and Commercial healthcare data sets.
Responsibilities:
- Develop and deliver longterm strategic goals for data architecture vision and standards in conjunction with data users clients and other key stakeholders.
- Lead data architecture data modeling and data movement initiatives to enhance the architecture of data warehouse which supports analytics for Medicaid and Medicare and Commercial healthcare data; including domains such as claims provider TPL and member information subject areas.
- Create endtoend vision on how logical design translates into one or more physical databases and how the data will flow through the successive stages.
- Analyzing and translating business needs into longterm solution data models.
- Evaluating existing data systems. Working with the development team to create conceptual data models and data flows.
- Create strategies and plans for data capacity planning data security life cycle data management scalability business continuity and archiving.
- Ensure that data strategies and architectures are in regulatory compliance. Recognize and identify potential areas where existing policies and procedures require change or where new ones are needed.
- Oversee the mapping of data sources data movement interfaces and analytics with the goal of ensuring data quality.
- Create and maintain data model and metadata policies and procedures for functional design.
- Provide technical recommendations and engage with other ETL Architects Business SMEs and other stakeholders throughout the Solution/Data Architecture and implementation lifecycle and recommend effective solutions to develop high performance and highly scalable data solutions (data marts/warehouse data mining and advanced analytics)
- Address datarelated problems regarding systems integration compatibility and multipleplatform integration.
- Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture.
- Document data architecture and enterprise environment to maintain a current and accurate view of the larger data picture an environment that supports a single version of the truth and is scalable to support future analytical needs.
- Communicate with customer project team in a timely manner and escalates issues & risks appropriately.
Requirements:
- Strong problem solving influencing communication and presentation skills selfstarter.
- Expertise in Data Architecture Data Strategy and Roadmap for large and complex health entity and systems and implemented large scale endtoend Data Management & Analytics solutions for more than one large client.
- Strong knowledge of regulatory security requirements regarding HIPPA PHI PII and other health care data security standards.
- Strong Healthcare domain knowledge of Medicaid Medicare and Commercial healthcare data sets.
- Expertise with normalized OLTP OLAP MDM and Dimensional modeling techniques Star schemas slowly changing dimensions roleplaying dimensions dimensional hierarchies and data classification.
- Expert level SQL skills with direct experience writing complex analytic queries stored procedures DDL DML and DCL. Thorough knowledge of query optimization techniques with the ability to write code to ANSI standards and inspect code written by other developers.
- Expertise in Data Quality Data Profiling Data Governance Data Security Metadata Management MDM Data Archival and Data Migration strategies using appropriate tools.
- Handson experience with ETL tools (e.g. Informatica Azure Data Factory)
- Handson experience with BI tools and reporting software.
- Demonstrated ability to work in a fast paced and changing environment with short deadlines interruptions and multiple tasks/projects occurring simultaneously.
- Must be able to work independently and have skills in planning strategy estimation and scheduling.
- Experience with scripting language used for analytics such as Python or R.
Preferred Skills:
- Experience with Microsoft Azure cloud infrastructure and services (Azure Data Lake Storage Azure Data Factory Purview Azure Maps etc.)
- Experience with Snowflake DBMS
- Experience with Erwin data modeler
- 2 years experience with Power BI
Ideal Background:
- Strong Healthcare background with Data Modeling and Analysis skills
What experience will set candidates apart from one another
- Healthcare domain
- Data Modeling
Employment Type
Remote
Company Industry
Key Skills
- Fund Management
- Drafting
- End User Support
- Infrastructure
- Airlines
- Catia
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