What are the responsibilities and job description for the Software Data Architect Engineering Cybersecurity Solutions position at Schneider Electric?
Join our Cybersecurity Solutions organization, where we support our customers at every stage of their cybersecurity journey, from proactive threat management to risk reduction and vulnerability management. If you're passionate about building solutions, enjoy tackling challenges, and thrive in an innovative environment, this could be the ideal opportunity for you to be part of an organization that's making a great impact.
As a Software Data Architect you will:
- Act as a lead data architect within the R&D team.
- Establish and evolve the software & data architectural framework upon which Cyber Solutions will be built and integrated with partner providers.
- Serve as a technical liaison to internal and external partner technical teams.
- Act as a strong collaborator across the Cyber Solutions Engineering (R&D) team.
- Lead the design and development of data architecture solutions that support cyber offer portfolio.
- Design and implement data models, schemas, and structures for optimal performance and usability.
- Design and implement data ingestion, processing, storage, and analytics solutions to support real-time and batch processing requirements.
- Ensure data security, privacy, and compliance measures as core architectural requirements.
- Provide technical leadership and guidance to development teams, ensuring adherence to architectural standards and best practices.
This may be the perfect opportunity for you if you have:
- 5 years of experience in software architectures with hands-on data architecture and design.
- Deep understanding of software architectures, data modelling, cloud services and architectures.
- Bachelor's/Master's degree in a computer science or engineering field
- In-depth knowledge of data modelling principles and methodologies (e.g., relational, dimensional, NoSQL).
- Proficiency in database technologies such as SQL Server, MySQL, PostgreSQL, MongoDB, Influx etc.
- Proficiency in big data technologies such as Hadoop, Spark, Kafka, etc., for processing and analyzing IoT data.
- Hands-on expertise in data integration, ETL/ELT processes, and tools
- Hands-on experience with programming/scripting languages such as Java, Python, .Net, etc.
- Excellent attention to detail
- Excellent communication skills, both written and oral
- Previous coaching experience.
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