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Senior Data Architect - Remote in Work From Home at TeamHealth

Date Posted: 9/23/2022

Job Snapshot

Job Description

TeamHealth has ranked three years running as “The World’s Most Admired Companies” by Fortune Magazine and one of America’s 100 Most Trustworthy Companies by Forbes Magazine in past years. TeamHealth, an established healthcare organization is physician-led and patient-focused. We continue to grow across the U.S. from our Clinicians to our Corporate Employees and we want you to join us.


The role of the Senior Data Architect is to expand the company’s use of data as a strategic enabler of corporate goals and objectives. The Senior Data Architect will achieve this by strategically designing, developing, and implementing solutions architecture and key data models for enterprise-level applications and systems. These models shall be architected at the following layers: conceptual, layered, and as-built. This individual will act as the primary advocate of data modeling methodologies and data processing best practices.


Strategy & Planning

  • Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders
  • Create short-term tactical solutions to achieve long-term objectives and an overall enterprise data architecture roadmap
  • Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.
  • Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement
  • Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks
  • Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving
  • Ensure that data strategies and architectures are in regulatory compliance

Acquisition & Deployment

  • Ensure the success of enterprise-level data application rollouts (e.g. Snowflake, AWS-related services, Profisee, Metacenter, etc.)
  • Liaise with vendors and service providers to select the products or services that best meet company goals

Operational Management

  • Assess and determine governance, stewardship, and frameworks for managing data across the organization
  • Develop and promote enterprise data management methodologies and standards
  • Select and implement the appropriate tools, software, applications, and systems to support enterprise data analytics team technology goals.
  • Oversee the design of the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality
  • Collaborate with project managers and business unit leaders for all projects involving enterprise data
  • Address data-related problems in regards to systems integration, compatibility, and multiple-platform integration
  • Act as a leader and advocate of data management, including coaching, training, and career development to staff
  • Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture
  • Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture
  • Identify and develop opportunities for data reuse, migration, or retirement



Job Requirements



  • Four year degree from a college/university or equivalent experience in computer science, information systems, or computer engineering
  • 4 to 7 years of experience experience as a data or information architect
  • Demonstrated proficiency with modern design patterns
  • Excellent verbal and written communication skills

Knowledge & Experience

  • Hands-on experience with data platform migration, data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis
  • Direct experience in implementing enterprise data management processes, procedures, and decision support.
  • Strong understanding of relational data structures, theories, principles, and practices
  • Strong familiarity with data governance, metadata management and associated processes
  • Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools
  • Demonstrated expertise with repository creation, and data and information system life cycle methodologies
  • Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on.
  • Ability to manage data and metadata migration
  • Experience with database platforms, including Netezza, SQL, Oracle, Snowflake, AWS Redshift + DMS + RDS preferred.
  • Understanding of Web services
  • Object oriented programming experience
  • In-depth technical knowledge of database networking and its applicability to on-premises and cloud platform operating systems
  • Working technical knowledge of current systems software, protocols, and standards
  • Experience with data processing flowcharting techniques
  • Good knowledge of applicable data privacy practices and laws

Personal Attributes

  • Excellent client/user interaction skills to determine requirements
  • Strong written and oral communication skills
  • Strong presentation and interpersonal skills
  • Ability to present ideas in user-friendly language


  • Project and program management and organizational skills
  • Network topology, design and hardware
  • Microsoft Azure and Amazon Web Services topology and design
  • Load balancing concepts with configuration to scale
  • Good business awareness
  • The ability to lead and influence teams on applicable areas in architecture