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Principal System of Record Architect

Posted about 2 months ago

Terrific Long-Term Contract Opportunity with a FULL suite of benefits!

Come work for an award-winning, nonprofit health system providing exceptional care across the full spectrum of health care services on an overall mission to heal, discover and educate for longer, healthier lives.


Responsibilities/Job Description:

  • Design and continuously refine data architecture to support the organizations digital transformation and the next generation of products and data initiatives
  • Design and drive end to end multi-cloud, cloud agnostic, data solution architecture from concept through development and delivery
  • Produce data architecture best practices and guidelines for data engineering development, data modeling and data quality results
  • Evangelize and consult on enterprise data architecture in order to reduce data silos and promote the efficient, effective, accurate and secure use of data throughout the organization
  • Guide and assist in the development and implementation of data collection systems as necessary
  • Reduce redundancy, enable accessibility within security boundaries and foster corporate understanding of the meaning of the data
  • Design, develop, and support conceptual/logical/physical data models, structure and attributes of data elements to facilitate integration and data exchange with internal and external partners/vendors
  • Track, analyze and communicate commercial technology trends to non-technical audience
  • Review the solution requirements and lead the architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology
  • Review diverse data sources and determine how to bring together to meet data reporting and interoperability requirements
  • Evaluate sources of information to determine possible limitations in reliability, consistency, quality and/or usability and proactively propose solutions as necessary
  • Utilize extensive experience / knowledge of master data management, data governance, data quality, and data security to optimize end to end data pipelines
  • Investigate, troubleshoot, and assist in design solutions of complex data engineering problems
  • Ensures that industry-accepted architecture principles, standards, guidelines and concepts are integrated with those of allied disciplines and coordinated roll-out and adoption strategies are in place
  • Understand and diligently apply EA methodology, framework and process to contribute to the development of a single, cohesive architecture for the IT enterprise.
  • Create architecture views, artifacts for architecture analysis and documentation, and management plan using the tools and templates prescribed by the EA framework
  • Upload architecture development plan and documentation into online living architecture and EA repository to enable reference and use across 
 

Education:

  • Bachelors degree in computer science, information technology or related field or equivalent combination of education/experience


Experience:

  • 10+ years experience in data engineering
  • 7+ years experience in data architect positions  
  • 5+ years of digital data management industry experience
  • Demonstrated ability to synthesize research on broad industry trends, present different and leading discussion on pro/con around approach and choices of design, technology and operations.
  • Demonstrated ability to simplify complex technical subject matter and communicate the business and operations impact of choices to business and IT leaders.
  • Experience designing and building data solutions across multiple cloud vendors and on premises systems, including leveraging open source ecosystem
  • Applied experience in an agile delivery environment utilizing a combination of Scrum, Kanban, Lean Software Development, XP or other agile process frameworks
  • Demonstrated experience with different data models like normalized, de-normalized, stars, and snowflake models. Worked with transactional, temporal, time series, and structured and unstructured data.
  • In-depth knowledge of and proven cloud experience with multi-cloud data management and hybrid business intelligence stacks
  • Experience with leading / managing data classifications
  • Experience with healthcare data terminologies, high-performance computing
  • Experience using the following software/tools:
    • Relational SQL and NoSQL databases
    • ETL Development Tools
    • Data lifecycle
    • Data pipeline and workflow management tools
    • Cloud services
    • Data orchestration / integration / service bus tools
    • API services
    • Stream-processing systems
    • Data Lakes and data marts
    • Object-oriented/object function scripting languages
    • Demonstrated experience with Data Quality Management
    • Experience with at least one data governance and metadata management tools ( Collibra, Reltio, Inofrmatica, SnapLogic )
    • Experience with Teams, DevOps, Rally, JIRA, Confluence and other productivity tools

License/Certification/Registration:

  • At least any one of common architecture frameworks (TOGAF, Zachmann, DODAF, FEAF)