Enterprise Data Architect

Excel Talent Solutions

Senior level Enterprise Data Architect to set the global enterprise strategy for data architecture across a very large, complex organization.

Our client is a Fortune 50 organization aiming to be a disrupter in the market.  Spearheaded by their Chief AI Architect this Enterprise Data Architect will author the enterprise wide data strategy and work with other EA’s throughout the organization on the strategic direction of maturity and automation efforts.  This technology leader will establish data literacy and enable a team of 100+ Data Scientists to increase capabilities in the areas of ML, AI, and Data Science.  
The Enterprise Data Architect will work with Business, EA, and Development teams to provide expertise and guidance to the Enterprise Data Strategy, Enterprise Data Models, Analytics, Data Lake strategy, BI strategy, MDM and Identification.  You will be establishing and implementing reusable data patterns to manage enterprise data assets supporting our clients analytics and AI. A successful candidate will partner with both technical and product teams to deliver high quality solutions, as part of an Agile release cycle that meets the needs of our growing business as we look to evolve our current on-premise data solutions to Cloud scale architecture. You are responsible for data architectures as it relates to security, the design of applications and data management solutions. You will tackle data governance and long-term scalability of our enterprise data stores. You will act as the primary advocate for data modeling methodologies, tooling, and best practices and will serve as the subject matter expert on data technologies as it relates to analytics and AI Solutions. In this opportunity you will:
  • Establish the long-term strategic goals for data architecture vision and data standards
  • Document the enterprise data architecture and application environment to maintain a current and accurate view of the larger data picture.
  • Establish end to end vision on how the logical design translates into the enterprise data lake solution.
  • Establish processes for governing the identification, collection, and use of corporate Meta data, and build solutions to assure metadata accuracy and validity.
  • Assess and determine governance, stewardship and frameworks for managing data across the enterprise.
  • Build strategies and plans for data capacity planning, data security, life cycle data management, business continuity and archiving.
  • Collaborate with project managers, business leaders and other stakeholders involving enterprise data.
  • Research new Cloud Native Database technologies.
 What they are seeking:
  • Bachelor’s Degree Computer Science, Data Science, or Engineering
  • 3+ years of experience in crafting and documenting conceptual, logical and physical data models, data dictionaries, entity-relationship diagrams, and hands on experience with traditional relational database technologies such as SQL Server, PostgresSQL, Oracle, and MySQL
  • 2+ years of experience with implementing fit-for-purpose strategies for high-availability, disaster recovery, data retention, and back-up.
  • Experience with many to most of the following:
    • Experience in dimensional data modeling techniques such as Star Schema, Cube-processing, Snow-flake Dimension, Hadoop, and Columnar modeling etc.
    • Experience with API layer utilizing data access frameworks and exposing data via services.
    • Demonstrated competency in communicating the value of data architecture to stakeholders and senior management.
    • Strong interpersonal, verbal and written communication skills, with the ability to develop and conduct executive level presentations.
    • Proven experience in Business Intelligence tools, data mining, reporting & visualization.
    • Experience with various data security practices, especially in a heavily regulated environment.
    • Experience in dimensional data modeling techniques such as Star Schema, Cube-processing, Snow-flake Dimension, Hadoop, and Columnar modeling etc.
    • Experience providing leadership in defining an enterprise information architecture including:
    • Data Architecture Process Standards
    • Metadata Management Infrastructure Strategy
    • Architectural Roadmap to fulfill the external Product Roadmap & internal Architectural strategy
    • Develop value-added, strategic solutions and sharing of best practices throughout the organization and the architectural community
    • Machine Learning & Deep Analytics:
    • Apache Spark design and development
    • Data Visualization tooling like Tableau, R, and Business Objects
    • Coding in: Java, Spring Data, Scala, Python
    • CI/CD: Build, Test, and Deployment of Data Architecture components
    • 5+ years of experience using any of the following Big Data technologies:
    • MPP Relational DBs including PostgreSQL 9+, Pivotal GreenPlum, Teradata, or IBM Netezza
    • Data Stream ingestion using Kafka or Flume
    • NoSQL experience