Enterprise Data Architect

4 days ago


Houston TX, United States Solution Partners, Inc. Full time

We are seeking a Senior Enterprise Data Architect to join our 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. The ideal candidate will have a strong background in IT, with 6-12 years of experience, and will be responsible for driving the data architecture vision and strategy to support our business objectives. This position focuses on creating a robust data foundation by collaborating with business data stakeholders, data product teams, and cross-functional IT teams to ensure data architecture aligns with business value and strategic goals. You’ll be needed in the downtown Houston office 4 days a week. Key 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. • Guide data product teams and solution architects by establishing standards and best practices, fostering data reusability, and ensuring consistency in data design and delivery. Qualifications: • 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. Education: • Bachelor’s degree in Information Systems, Computer Science, Data Science, or a related field. A master’s degree is preferred. Desired Skills: • 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).



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