Associate Director - Information Architect Wave 2 Build at KPMG India

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Modeling, Data Lifecycle Flows, Data Standards, Data Security, Data Performance, Data Governance, Master Data Management, MDM, ETL, ELT, Cloud-Native Platforms, OLTP, Data Warehouses, Data Marts, AI Engagements

Industry

Business Consulting and Services

Description

Roles & responsibilities Responsible for designing and constructing relevant data and information architecture to support a variety of data use cases. The incumbent will architect and implement data concepts and designs while making best practice recommendations for data lifecycle flows, standards, architectures, security, and performance. This role is critical in designing, implementing, and maintaining data structures that support business needs and adhere to industry best practices by partnering with data stakeholders, technical teams, and leadership. Key Responsibilities A. Architecture & Design • Architect and document data model concepts and solutions. • Create and optimize relevant logical and physical data models using accepted professional procedures to ensure high data quality and limit redundancy. • Architect end-to-end data management solutions in cloud-native platforms as well as traditional OLTP, Data Warehouses, and Data Marts. • Design and architect data integration processes using ETL/ELT tools, scripts, and stored procedures to load data from multiple source systems. B. Strategy & Governance • Work with key project stakeholders to implement data strategies, build data flows, and develop conceptual data models. • Provide expertise in Data Governance and Master Data Management (MDM) solutions, including integration, sourcing, data services, de-duplication, and data archiving. • Understand and translate business needs into data models that support long-term, scalable solutions. C. Project Delivery & Client Engagement • Support the delivery of data and AI engagements, including defining objectives and managing risks in data, modeling, and delivery. • Engage with clients for data source discovery and creation of data requests; lead data discovery and ETL/ELT processes for structured and unstructured data. • Support the creation of analytics and machine learning models through all phases, from design to implementation. • Define, monitor, and report key business metrics; design and manage reporting processes and dashboards.

Responsibilities

The role is responsible for designing and constructing data and information architecture to support various data use cases, architecting and implementing data concepts, and making best practice recommendations for data lifecycle flows, standards, and security. Key duties involve architecting and documenting data models, optimizing logical and physical models, and architecting end-to-end data management solutions in cloud and traditional platforms.