IS3 Solutions ยท 1 month ago
Senior Enterprise Data Architect
IS3 Solutions is seeking a Senior Enterprise Data Architect to join their team on a contract basis. This role is pivotal in setting and modernizing technology for data and analytics, developing enterprise-wide logical data models, and creating incremental value through data products and evolving data solutions.
Cyber SecurityData CenterInformation TechnologyIT Infrastructure
Responsibilities
Lead initiatives to set and modernize technology for data and analytics, ensuring alignment with business goals and industry best practices
Develop and maintain enterprise-wide logical data models to ensure consistency, scalability, and alignment with business needs. This includes high-level data reference models such as conceptual, logical, and physical data models
Create and evolve data solutions that deliver incremental value, focusing on data products that enhance business operations and decision-making
Work closely with business stakeholders, data product teams, and IT teams to translate business requirements into technical data solutions. Serve as a bridge between data product teams, solution architects, and business stakeholders to ensure alignment with the enterprise data architecture strategy
Establish and enforce data governance processes, including data quality, security, compliance, and metadata management, to support regulatory requirements and business objectives
Stay abreast of industry trends and emerging technologies, providing thought leadership and guidance to optimize the data ecosystem. Lead proof-of-concept initiatives to evaluate innovative data technologies and their impact on the enterprise data landscape
Guide data product teams and solution architects by establishing standards and best practices, fostering data reusability, and ensuring consistency in data design and delivery
Qualification
Required
6-12 years of IT experience, with a focus on data architecture or enterprise data management
Proven experience in setting and modernizing technology for data and analytics
Strong expertise in developing enterprise-wide logical data models
Ability to develop incremental value through data products and evolving data solutions
Extensive expertise in data architecture, best practices, data modeling, governance, and integration standards
Ability to work effectively across multiple functions and teams to deliver comprehensive data solutions
Strong analytical skills with the ability to identify, analyze, and resolve complex data-related challenges
Bachelor's degree in Information Systems, Computer Science, Data Science, or a related field
Preferred
Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud)
Familiarity with data governance frameworks and compliance requirements (e.g., GDPR, CCPA, or industry-specific regulations)
Hands-on experience with data modeling tools and methodologies
Knowledge of AI/ML data architectures and their application in enterprise settings
Certification in data architecture or related frameworks (e.g., DAMA-DMBOK)
Experience with real-time data processing or big data technologies (e.g., Kafka, Spark)