Data Architect

5 - 7 years

Posted 209 days ago

This job is no longer available.

The Data Architect will be responsible to drive the data analytics strategies and platforms required to support the Sears Hometown & Outlet Organization. The data architect requires a deep understanding of Data Architecture, Big Data, OLAP Databases, and Infrastructure Design.

Specifically, this role will work closely with the various departments of SHO like marketing, finance, operations, e-commerce, transportation, supply chain, logistics services in all aspects of designing, developing and delivering cloud-based Data Lake, Big Data platform containing data from SHOS systems.

This candidate will work with SHO BPO vendors, SHO business teams, SHO third-party teams and build an enterprise wide modernized data platform for SHOS business focused primarily on data integration, multi-dimensional reporting adhoc, and self-service reporting

A deep knowledge of MDM, Big Data, Reference Data, Data Integration, and Metadata is required.

Job Duties & Responsibilities

  • Lead Application Data Lake, Big Data Platform containing application generated data 
  • Evaluate and ability to influence key technologies include: 1. Data Lake Architecture, 2.Integration Services, 3. Data warehouse architecture
  • Develop enterprise level multidimensional OLAP data models and database designs, across all phases of data modeling from conceptualization to database optimization.
  • Incorporate emerging technologies like columnar and NoSQL databases, predictive analytics, and unstructured data wherever is needed.
  • Initiates evaluates, and implements database and ETL projects involving data from SHOS operational systems, SHO legacy systems and external data repositories in the SHOs environment.
  • Map the systems and interfaces used to manage data and set standards for data management.
  • Analyze current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals.
  • Able to emphasize methodology, modeling, and governance.
  • Scope different SHOs business requirements and create solution architecture and design documents.
  • Respond to all requests with high standards for customer service

 

Qualifications:

    • Bachelors Degree in Computer Science, Engineering, Mathematics & Statistics
    • Five or more years of experience in Data Architecture: application, reporting frameworks, dimensional modeling, processing, availability, and scalability 
    • Three or more years of experience in BIG DATA on cloud preferred
    • Excellent knowledge of native Hadoop, DynamoDB (Cassandra), or similar solution
    • Three or more years of experience with database and ETL development, preferably with Teradata, SQL Server, MYSQL & ETL looks like Talend, Pentaho Kettle, Datastage or Informatica
    • Ability to communicate information clearly, concisely, and effectively both orally and in writing.
    • Advanced knowledge of SQL – stored procedures, functions, dynamic SQL, triggers, etc.
    • Advanced knowledge of ETL tools – templates, auditing, error handling, standards
    • Database modeling experience – design of relational and dimensional data models
    • Solution architecture experience – requirements gathering, design documentation
    • Experience in overall Data Warehouse architecture (ETL, ODS, Data warehouse, Data Marts)
    • Understanding of data integration problems, including validating and cleaning data
    • Ability to tie together solutions across products.
    • Comfortable working in a collaborative team-centric environment.
    • Ability to work well with a wide variety of people with varying technical skill sets and business knowledge.
    • Must take initiative and be a self-starter, be flexible, detail-oriented, a team player, and work well independently, good problem-solver, and must be able to handle multiple projects simultaneously
    • Excellent organizational skills, including the ability to oversee multiple issues at one time to meet competing user demands through problem-solving and long-term planning
    • Excellent analytical and communication skills