Job Title:  T&T | EAD Engineering | Master Data Management (MDM) | Manager

Job requisition ID ::  80039
Date:  Jul 4, 2025
Location:  Delhi
Designation:  Manager
Entity:  Deloitte Touche Tohmatsu India LLP

DATE: 18-Feb-2025

BUSINESS TITLE: Data Architect


 

POSITION DESCRIPTION

 

WHAT YOU’LL DO

·      Define and design future state data architecture for risk data products.

·      Partner with Technology, Data Stewards and various Products teams in an Agile work stream while meeting program goals and deadlines.

·      Create user personas to support various business initiatives.

·      Engage with line of business, operations, and project partners to gather process improvements.

·      Lead to design / build new models to efficiently deliver the risk results to senior management.

·      Evaluate Data related tools and technologies and recommend appropriate implementation patterns and standard methodologies to ensure our Data ecosystem is always modern.

·      Collaborate with Enterprise Data Architects in establishing and adhering to enterprise standards while also performing POCs to ensure those standards are implemented.

·      Provide technical expertise and mentorship to Data Engineers and Data Analysts in the Data Architecture.

·      Develop and maintain processes, standards, policies, guidelines, and governance to ensure that a consistent framework and set of standards is applied across the company.

·      Create and maintain conceptual / logical data models to identify key business entities and visual relationships.

·      Work with business and IT teams to understand data requirements.

·      Maintain a data dictionary consisting of table and column definitions.

·      Review data models with both technical and business audiences.

 

YOU’RE GOOD AT

·      Design, document & train the team on the overall processes and process flows for the Data architecture.

·      Resolve technical challenges in critical situations that require immediate resolution.

·      Develop relationships with external stakeholders to maintain awareness of data and security issues and trends.

·      Review work from other tech team members and provide feedback for growth.

·      Implement Data security policies that align with governance objectives and regulatory requirements.

 

EXPERIENCE & QUALIFICATIONS

 

·      Bachelor's degree or equivalent combination of education and experience.

·      Bachelor's degree in information science, data management, computer science or related field preferred.

 

 Essential Experience & Job Requirements

 

·      12+ years of IT experience with major focus on data warehouse/database related projects

·      Expertise in cloud databases like Snowflake/RedShift, data catalogue, MDM etc

·      Expertise in writing SQL and database procedures

·      Proficient in Data Modelling- Conceptual, logical, and Physical modelling

·      Proficient in documenting all the architecture related work performed.

·      Hand on experience in data storage, ETL/ELT and data analytics tools and technologies e.g., Talend, DBT, Attunity, Golden Gate, FiveTran, APIs, Tableau, Power BI, Alteryx etc

·      Experienced in Data Warehousing design/development and BI/ Analytical systems

·      Experience working projects using Agile methodologies

·      Strong hands-on experience with data and analytics data architecture, solution design, and engineering experience

·      Experience with Cloud Big Data technologies such as AWS, Azure, GCP and Snowflake

·      Experience working with agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams (Product Owners, Scrum Master, Architects, and data SMEs)

·      Review existing databases, data architecture, data models across multiple systems and propose architecture enhancements for cross compatibility and target systems

·      Excellent written, oral communication and presentation skills to present architecture, features, and solution recommendations

 

YOU’LL WORK WITH

 

·      Global functional portfolio technical leaders (Finance, HR, Marketing, Legal, Risk, IT), product owners, functional area teams across levels

·      Global Data Portfolio Management & teams (Enterprise Data Model, Data Catalog, Master Data Management)

·      Consulting and internal Data Portfolio teams