JOB DESCRIPTION SUMMARY

Responsible for expanding and optimizing overall data architecture and data engineering solutions. Will be supporting data analysts, solution architects, data scientists and product managers to deliver data analytical and reporting solutions. Accountable for managing multiple data domains and delivering wing to wing data solutions that include establishing data pipelines, data flows, standardizing data models and setting up complex data transformation rules. Will be responsible for managing the solutions released to production through stabilization period.

EDUCATION QUALIFICATION

• Bachelor’s degree from accredited university or college with minimum of 4 years of professional experience OR Associates degree with minimum of 7 years of professional experience OR High School Diploma with minimum of 9 years of professional experience
• Minimum 3 years of professional experience in data engineering.
• Note: Military experience is equivalent to professional experience

LEADERSHIP SKILLS:

• Strong influencing and executive communication skills
• Demonstrates ability to lead and work in a matrix organization structure
• Highly self-motivated, able to work independently and accommodate multiple time zones
  This role requires access to U.S. export-controlled information. Therefore, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), employment will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

• Handle multiple projects across multiple data domains in the Cost as a Technology team
• Provide thought leadership on data architecture and design, data modeling principles & Big Data strategy in the product cost data space.
• Develop and maintain an integrated data architecture spanning the relational and non-relational data landscape.
• Manage Extract, Transform & Load (ETL) framework and maintaining the quality and timeliness of the data Ingestion and transformation jobs.
• Drive reusability and ensure extensibility of overall data architecture
• Manage technical data dictionaries and support business glossaries
• Lead data profiling and data analysis for source systems, manually maintained data, machine or sensor generated data and target data repositories
• Design & validate both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions
• Standardize automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
• Define metadata structures needed for building reusable Extract, Transform & Load (ETL) components.
• Design common data structures for handling reference datasets and Master Data Management (MDM) datasets.
• Streamline data feeds to downstream systems/products and recommend alternatives to minimize the impact.
• Lead the efforts to build Data Quality (DQ) rules.