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Title:Data Warehouse Developer III
Location:Frisco,, TX

The Data Warehouse Developer III will be a critical team member for the

delivery of key customer commitments surrounding the Company’s

Population Health, Clinical Informatics & Financial Risk

Management data sets and support the build out of enterprise information

management capabilities across the business. The Data Warehouse

Developer III will be involved with hands on technical delivery of 1)

Reference, Master, Metadata and Modeling competencies 2) Database

Warehouse Development and Integration. Primary Competencies as a part

of a team, the Data Warehouse Developer III will be primarily focused on

the following two areas: Reference, Master, Metadata Management &



  • Develop a unified approach for managing Master data and

developing associated solutions

  • Engage business owners to define Reference, Master, and

Metadata (e.g., dictionary, data architecture, standards)

  • Ensure the development of capabilities to enable easy access to

high quality, integrated Reference, Master and Metadata

  • Assist the business with operational data definitions (e.g.,

data modeling, table & index design, DB design)

  • Support the business by leading analytical data designs (e.g.,

dimensional modeling, DW table & index design, DW database design)

  • Design physical data constructs (e.g., converting

ERD/dimensional models to table design, indexing, physical storage

constructs, DDLs)

  • Build Data Modeling competency to document data content from

numerous enterprise sources. Includes clearly document data mappings

across disparate systems, source and target data models. Define tools,

processes and competencies required to store, update and provision.

  • Manages the flow of information between departments through the

use of relational databases.

  • Maintains data integrity by working to eliminate redundancy.

Stays informed of the ways the organization uses its data.

  • Must have deep, practical experience with building data models

that support all facets of IT disciplines with a focus on Data

Warehousing and Business Intelligence. This resource must be able to

communicate with various levels of personnel (both technical and

business) and have a deep understanding of the data required to support

the Company’s business. This person should be continually evaluating

emerging data modeling best practices and integrate these within

the company. Data Warehouse Development and Integration

  • Define and develop a data warehousing architecture strategy,

design and incremental roadmap that overcomes current challenges and

appropriately meets current and future analytic needs.

  • Develop and implement a comprehensive data repository and

storage architecture including solutions for data sourcing, data

integration & staging, data hub (data warehouses, stores, marts, lakes,

etc.), data privacy, reporting/analytics/views, data quality &


  • Design, implement, and maintain data repositories as defined.
  • Define and implement clear guiding principles and an

integration reference model to enable agile, secure and timely

integration of data.

  • Define and implement normalization/denormalization principles

to the relational model for data repositories.

  • Develop programs that integrate data sources into the

ecosystem. This person uses ETL (extract, transform, load) and ELT

(extract, load, transform) techniques to move data from various sources

systems. They should have expertise in one or more of the data

integration tools in use at the company ( SSIS, Alteryx ). They should have

hands-on experience in loading data to different structures including

Hadoop, relational and star-schema.

  • Have the ability to design and build complex data integrations

across a number of technologies and database platforms. They should be

continually researching emerging trends and best practices relating to

data integration and integrate these into the organization.

  • This person will set the overall standards for data integration

solutions that will be followed by all other data integration engineers.

  • Design and build data services to support business

requirements, and adhere to comprehensive, standardized, flexible and

scalable data integration architectural models.

  • Ensure data services align to an established overarching

integration strategy and data services model, and enable a Service

Oriented Architecture where appropriate.


Include the following. Others may be assigned.

  • Reference, Master, Metadata Management & Modeling 50%
  • Data Warehouse Development and Integration 50%



successfully, an individual must be able to perform each essential duty

satisfactorily. The requirements listed below are representative of the

knowledge, skill and/or ability required. Reasonable accommodations may

be made to enable individuals with disabilities to perform the essential


  • Successful background as an architect and/or technical lead on

an Enterprise Data Warehouse or Enterprise Information Management team

  • Full life cycle experience creating, maintaining and enhancing

physical database structures.

  • Deep understanding of relational theory.
  • Extensive experience working with relational or OLAP database:

Oracle, SQL Server, DB2, Teradata, Netezza

  • Extensive knowledge of Relational Database Design, Dimensional

Database Design, Semantic Web Design, and Cloud data storage and


  • Strong Data Modeling and data analysis skills (Erwin, ER

Studio, UML, PowerDesigner, etc.). · Ability to apply modeling standards

to logical and physical ERDs

  • Experience with data modeling concepts

(conceptual/logical/physical/semantic, multi-dimensional models (star,

snowflake), normalized/denormalized models)

  • Knowledge of source control tools (e.g. GitHub)
  • Extensive knowledge of ETL and Data integration techniques;

SSIS and Alteryx preferred

  • Strong experience with Microsoft products (SSIS, SSRS, OLAP,

OLTP and SQL Server)

  • Work independently and with Business Analysts and SMEs to

gather, document and explain requirements EDUCATION / EXPERIENCE Include

minimum education, technical training, and/or experience preferred to

perform the job.

  • Bachelor's degree in computer science, engineering or

management information systems

  • 3+ years of experience as a Data Architect
  • 7+ years of DBA experience managing enterprise-level database


  • 7+ years of DBA experience with SQL Server and / or Hadoop (or

acceptable similar database management systems)

  • 7+ years of DBA experience with managing data warehouses, data

marts, cubes and big data

  • 5+ years of experience with implementing data models to support

Business Intelligence and Data Warehousing projects.

Job Type: Full-time

Salary: $105,000.00 /year

Required education:

  • Bachelor's

Required experience:

  • DBA: 7 years

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