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Senior Data Architect in Fort Washignton, PA at SNI Technology

Date Posted: 11/22/2019

Job Snapshot

Job Description


Senior Data Architect
Location: Ft Washington, PA
Start Date: Immediate Need!
Type: Contract 12 months +, or 6 month Contract-to-hire.
Must Haves:

  • Ability to Interview F2F in Ft. Washington, PA.
  • 10+ years of work experience in information and data architecture, data sourcing and distribution analysis and design, message and transformation design, and data modeling.
  • 10+ years of work experience with conceptual and logical data modeling (relational and dimensional)
  • 5+ years of demonstrable technical lead/project management experience.
  • Strong understanding of information and data and reporting architectural concepts and design.
  • Ability to work effectively across a matrixed environment and influence without formal authority
  • Ability to lead change and inspire flexibility amongst stakeholder groupsA bachelor's degree in a related discipline, master's preferred.
  • Strong leadership, interpersonal, influence, negotiation, and written and verbal communication skills required.
  • Able to express complex technical information to non-technical audiences
  • Expert data modeling tool user (e.g. Erwin, ER/Studio/ PowerDesigner, etc.)
  • SQL proficiency


Description/Responsibilities:
We have an immediate need for a Senior Data Architect to help our healthcare division develop a data architecture strategy and roadmap. The organization is embarking on a significant integration and business modernization program. A key component of this effort is a data warehouse strategy to create valuable new analytics products for their internal and external customers using business intelligence/analytics tools running on a big data infrastructure.

Responsibilities:

  • Defines the Healthcare division architectural vision and blueprints for all Big Data and Analytical platform solutions, through major, complex IT architecture projects; ensures that the architecture will meet strategic and immediate operational needs.
  • Develops data architecture technology road map, while keeping up-to-date with emerging technologies, and recommends business direction based on these technologies.
  • Provides technical leadership and is responsible for leading development of the overall systems design. Translates complex business problems into sound technical solutions.
  • Applies software design theories and principles in researching, designing, and developing product software interfaces.
  • Acts as an advisor and mentor to junior team members.
  • Influences various stakeholders across the organization to achieve departmental and Division goals.
  • Works across Divisions with other Data Management team members to achieve consistency and synergy corporate-wide.


Preferred Qualifications:

  • Significant previous experience in a leadership role defining large scale information architectures. Ideally looking for someone who was involved in shaping information architecture strategy, data sourcing and distribution projects, data management, and big data adoption
  • Experience in leading data and information architecture activities and working with micro services, data sourcing APIs, big data, etc.
  • Ability to facilitate and drive data governance activities across traditional and emerging data technologies. Lead the adoption of data standards through example and helping application teams incorporate these standards in their work.
  • Experience with data warehouse modeling, operational reports and data stores, BI reports, data replication, ETL technologies, data archival, purging and retrieval implementations.
  • Experience in Architecture tools selection and usage.
  • Command of software development life cycle methodologies such as Waterfall, Agile, etc.
  • Hands on experience with data modeling using Healthcare data best practices, database configuration, and reference data management.
  • Familiar with Healthcare data reporting
  • Experience launching/running data governance initiatives
  • Experience with cloud data warehouses (e.g. Redshift, Azure, BigQuery, Snowflake) and AWS infrastructure and services
  • Experience building database prototypes for proof-of-concept evaluations
  • Experience with NoSQL databases (e.g. MongoDb, Redis, etc.)

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