IT Data Architect

Schneider Electric - Andover, MA

Full-time - Senior

Andover, MA

10,001+ employees

Electrical Equipment, Appliance, and Component Manufacturing

About the position

The IT Data Architect at Schneider Electric's Sustainability Business plays a crucial role in shaping the organization's data strategy, ensuring alignment with business objectives and digital transformation initiatives. This position focuses on leveraging data as a strategic asset, crafting scalable solutions, and guiding data architecture practices to support advanced analytics and strategic decision-making.

Responsibilities

• Lead the creation and execution of a comprehensive data strategy that aligns with the organization's objectives.
• Design and implement cloud-based data solutions using AWS, Azure, or Google Cloud.
• Architect high-performing database structures, data warehouses, and data lakes.
• Establish robust governance frameworks to ensure data accuracy, quality, security, and compliance.
• Develop strategies for data distribution ensuring availability and consistency across platforms.
• Define and implement efficient data access patterns for various use cases.
• Utilize modern data integration techniques for real-time data processing.
• Optimize data systems for performance and scalability.
• Implement comprehensive data security policies and procedures.
• Continuously assess and recommend new data technologies and management tools.
• Collaborate with business leaders and IT teams to translate business needs into actionable data architectures.
• Document the data architecture and strategy and communicate effectively with stakeholders.
• Provide leadership and mentorship in data-related areas and foster a culture supporting the data strategy.
• Contribute to the technology strategy with a focus on Data Architecture.

Requirements

• Bachelor's degree in computer science, information technology, or related field; master's degree preferred.
• 5-8+ years of experience in data and data architecture roles.
• Extensive experience in data architecture with a strong foundation in relational databases and cloud data architectures.
• Proficiency in SQL, database platforms (MySQL, Oracle, SQL Server), data warehousing, ETL processes, and data modeling tools.
• Familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi).
• Strong analytical skills to solve complex problems and leverage data science techniques.
• Excellent communication and interpersonal skills.

Nice-to-haves

• Experience with machine learning and data science techniques.
• Leadership experience in mentoring junior staff.

Benefits

• Opportunities for advancement
• Competitive salary
• Inclusive company culture
• Commitment to sustainability and ethical practices