Mphasis Hiring Big Data – Delivery Project Lead

Job description

  • Interface with the technical & business team to facilitate data model design conversations.
  • Capture & Represent business data requirements using various data modeling techniques to produce better quality products.
  • Provide the capability for better impact management & proven compliance with data regulations by implementing standardized tools and processes to report on data usage, business rules and data lineage.
  • Reduce application & data reporting errors by putting proactive controls for data quality validations.
  • Act as the ‘link’ connecting data across different workforce domains as well as other reference data domains.
  • Understand the existing data domains and reverse engineer data documentation at various levels.
  • Minimum 10 years of relevant experience in information management field, with 3 years of experience directly managing data & information architecture.
  • Hands-on data modeling skills utilizing tools such as Erwin, Power Designer, etc. Knowledge of SPARQL query language is a plus.
  • Knowledge of different data modeling methodologies with the ability to read and understand data models presented in a variety of formats.
  • Experience in creating and reviewing Architecture and Development artifacts such as Conceptual and Logical Data Models.
  • Create a unified data model, design data flow, ingestion, ETL and security audit, review and monitor execution
  • Data driven mindset, experience in data analysis and data mining, including advanced SQL knowledge.
  • Knowledge of core Information Architecture capabilities, including Master and Reference Data Management, Data Quality (DQ), Metadata Management, Data Taxonomy, Data Integration, Data Migration and Data Modeling.
  • Ability to collaborate with business teams to understand, translate and capture the requirements into Taxonomies, Conceptual and Logical Data Models, Interface Specifications, etc.
  • Develop and manage the data modeling best practices, patterns and standards
  • Experience working with Big Data implementations and understanding of Big Data design patterns is desired.


  • 8+ years of technical solutions experience including 5+ years of in a combination of relevant Big Data/Analytics areas including
  • Advancing the firm’s Roadmap programs — Single Sourcing of data, Architecture Convergence, and Rationalization of Platforms
  • Adopting industry leading technologies to support best-in-class business capabilities for high performance computing and data storage solutions
  • Hadoop and other Industry BigData Frameworks
  • Underlying infrastructure for Big Data Solutions (Clustered/Distributed Computing, Storage, Data Center Networking)