IT Data Architect

Schneider Electric creates connected technologies that reshape industries, transform cities and enrich lives.Our 150,000+ employees thrive in more than 118 countries.

From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations.

Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment.

Schneider Electric's Sustainability business is undergoing an exciting Digital Transformation.

Our mission is to deliver technology solutions that improve the ways of working, enable organizational efficiency, sustainable business growth, and advance operational excellence.

This is a key role in our Digital Transformation, serving as the keystone for structuring data architecture that enables advanced analytics, drives strategic decision-making, and lays the foundation for a data-driven future.

Responsibilities:

As the IT Data Architect at Schneider Electric's Sustainability Business, you will play a crucial role in shaping the organization's data strategy, ensuring it aligns seamlessly with its business objectives and digital transformation initiatives, to harness the power of data as a strategic asset.

In this pivotal role, you will leverage data as a strategic asset, crafting and deploying scalable solutions that meet current and future needs while guiding the progression of our data architecture practices.

Through your analytical acumen and strong communication skills, you will lead data management efforts, mentor team members, and set the standard for data practices that support the strategic objectives of Schneider Electric's Sustainability Business.

Primary Duties:


* Data Strategy Development: Lead the creation and execution of a comprehensive data strategy that aligns with the organization's objectives, including data policies, standards, governance, and lifecycle management.


* Cloud Data Architecture Development: Design and implement cloud-based data solutions, leveraging services such as AWS, Azure, or Google Cloud to build scalable and resilient data architectures that support distributed data storage and processing.


* Design and Implement Data Solutions: Architect high-performing database structures, data warehouses, and data lakes, ensuring they cater to both present and future business requirements and align with the data strategy and business goals.


* Data Management and Governance: Establish robust governance frameworks to ensure data accuracy, quality, security, and compliance with internal and external regulations.


* Data Distribution Strategy: Develop strategies for data distribution that ensure data availability, consistency, and fault tolerance across multiple geographic locations and platforms.


* Data Access Patterns: Define and implement efficient data access patterns and strategies to optimize for various use cases, such as transactional workloads, analytical proce...