Job Title:  Consulting-CS&AD-Senior Consultant-Data Architect

Job requisition ID ::  4511
Date:  Sep 14, 2021
Location:  Bengaluru
Designation:  Senior Consultant
Entity:  Deloitte Touche Tohmatsu India LLP




Position Summary

Are you an experienced, passionate pioneer in technology? A system’s professional who wants to work in a collaborative environment. As an experienced (Skillset example - Java Developer) you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.  PDM practitioners are local to project locations, minimizing extensive travel, and provides you with a full career path within the firm.


Work you’ll do / Responsibilities

Client facing and long term project for one of our major health care/life science clients. A project delivery team of 200+ members across shores and exposure to the latest technologies in a modernizing IT landscape. Opportunity to work with the best in the industry, leading to personal and professional development.

• Creation of standards for data architecture and delivery of data architecture for transactional and analytical solutions.  

• Contribute to the communication and maintenance of information architecture standards

• Contribute to the data model review process 

• Partner with the Data Governance department to promote data literacy through data definitions,    lineage and models.  

• Provide mentorship to team members  

• Work as a part of the Data and Analytics Center of Excellence team to identify information needed to support operational and business improvement initiatives.  Provide leadership in building the people, process and tools to support these initiatives.

• Monitor and resolve conflicting demands based on agreed upon priorities. 

• Ensure high quality design.  Implement processes, procedures, standards and best practices from system and technology perspective.  

• Participate in and/or lead projects to ensure performance and scalability of Data and Analytics Center of Excellence solutions.

• Provide input and experience on the architecture, design and evolution of FMCNA enterprise data platform (data warehouse and data lake) and information delivery solutions, including tool selection, migration strategies, and risk mitigation.



Qualifications Required


  • Hands-on experience in solution delivery using agile methodologies 
  • Excellent experience in the use of Data Modelling tools (ER/Studio, Erwin) 
  • Excellent experience in data profiling, data analysis and data modeling techniques 
  • Excellent experience in documentation of technical specifications 
  • Strong experience in DBMS technologies (Oracle, SQL, PostgreSQL, Snowflake, Redshift) and data lake object stores (AWS S3).  
  • Good understanding of SQL and data integration tools (Informatica Power Center, AWS Glue) 
  • Analytical experience in the healthcare or medical setting is preferred, including knowledge of applicable standards and methodologies. Experience with real-time and batch processing for analytical data platforms 
  • Knowledgeable of data delivery through Web Services, APIs & Messaging services 
  • Knowledgeable of Business Intelligence tools (Tableau, Business Objects) 
  • Knowledgeable in data masking, data de-identification and data anonymization 
  • Outstanding problem solver  
  • Excellent communication, presentation 
  • Bachelor's Degree preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
  • Limited Sponsorship: Limited immigration sponsorship may be available. 


Minimum Years of experience

Data Integration Architect:   Minimum of 5 years of experience in delivering data architecture, data modeling and/or information design for analytical (data warehousing, data marts, data lakes, ODS) and/or transactional systems


Preferred Qualifications: 

Data modeling, data profiling and analysis, DBMS technology (on prem and cloud), snowflake data lake object stores.