Infrastructure Solutions Data Architect

Schneider Electric is undergoing a global transformation programme, spanning 160 countries in all five continents, led by the Digital Infrastructure Operations Centre of Excellence. The Cloud Data Architect will be a member of the Global Infrastructure Solutions Architecture team.

The global transformation programme, driven by mass migrations and applications optimisations, as well as the in-sourcing of the operations, aims to transform Schneider Electric s business and IT capabilities with the help of cloud technology.

The Cloud Data Architect s role is to help keep that transformation as standardized and evolved as possible, contributing to the overall strategy, project execution and operations in his/her areas of expertise. They ensure that cloud data-related applications and infrastructure encompassing Big Data and IoT are optimized, secured and fit for purpose, following the standards, rules and technologies throughout the entire ecosystem.

The Cloud Data Architect will work closely with the office of the CDO, the BI teams, Operations and Development teams, as well as business lines, making sure the standards and governance around data architecture elements and their principles are being adhered to and respected.

This is a role with technical know-how and leadership qualities to eager drive data initiatives from start to finish and presents opportunities to advise on the global cloud data strategy in IT strategies and programs around big data pipelines, IoT, Machine and Deep Learning capabilities.

Essential:

• 5 years experience as an IT Data Architect and/or Engineer

• 3 years experience architecting IT Data-related solutions in cloud platforms such as Amazon Web Services (AWS) and Microsoft Azure

• Advanced Cloud and On Premise Relational Database and Service knowledge covering RDBS Oracle, MSSQL, MySQL, PostgreSQL, AWS RDS, Redshift, Aurora, ElastiCache

• Advanced Cloud and On Premise NoSQL knowledge covering AWS DynamoDB, MongoDB

• Advanced Cloud Streaming, Processing and Storage knowledge covering data formats, structured and unstructured data concepts, AWS S3, EFS, Glacier, AWS Kinesis, AWS Kinesis Firehose, AWS SQS, AWS DynamoDB Streams

• Advanced Cloud Streaming Analytics knowledge covering AWS EMR (Hadoop, Spark, Hive, Pig etc.), Kinesis Analytics, AWS Quicksight, AWS Data Pipeline, AWS Glue, AWS Athena

• Advanced Cloud IAM and Management Tool knowledge covering AWS IAM, AWS CloudWatch, CloudFormation, CloudTrail

• Advanced Network knowledge covering macro and microsegmentation, VPCs, subnetting, route tables, DNS and Federation Services

• Advanced Cloud Compute and App Services knowledge covering AWS EC2, AWS Step Functions, SWF and Lambda.

• Cloud AI and IoT knowledge covering Machine Learning, Apache MX, AWS IoT, AWS Greengrass

• Database Migration knowledge covering AWS DMS, Database baselining and transformation; triggers, SPs, XPs, schemas etc.

• Strong interpersonal and communication skills; ability to work in a team environment

• Ability to work independently with minimal direction; self-starter/self-motivated

Desirable:

• Experience with enterprise architecture frameworks like TOGAF and Zachmann

• Relevant professional certifications: Cloud (AWS, Microsoft Azure),

• Project management methodologies (PMBoK, PRINCE2, Agile), DevSecOps and Enterprise Architecture frameworks (TOGAF, Zachman, DoDAF, Gartner Methodology).

• Technical writing experience