Senior Enterprise Data Engineer & Architect- ONSITE

Job Description

Senior Enterprise Data Engineer & Architect

Location :  On-site in Houston

Contract Duration :  6-12 months

Job Summary :

We are seeking a Senior Enterprise Data Engineer & 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 6-8 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.

Key Responsibilities :

• Technology Modernization :  Lead initiatives to set and modernize technology for data and analytics, ensuring alignment with business goals and industry best practices.
• Data Modeling :  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.
• Data Solutions Development :  Create and evolve data solutions that deliver incremental value, focusing on data products that enhance business operations and decision-making.
• Collaboration :  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.
• Data Governance :  Establish and enforce data governance processes, including data quality, security, compliance, and metadata management, to support regulatory requirements and business objectives.
• Innovation and Leadership :  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.
• Standards and Best Practices :  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 :

Requirements

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 6-8 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. Key Responsibilities : Technology Modernization : Lead initiatives to set and modernize technology for data and analytics, ensuring alignment with business goals and industry best practices. Data Modeling : 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. Data Solutions Development : Create and evolve data solutions that deliver incremental value, focusing on data products that enhance business operations and decision-making. Collaboration : 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. Data Governance : Establish and enforce data governance processes, including data quality, security, compliance, and metadata management, to support regulatory requirements and business objectives. Innovation and Leadership : 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. Standards and Best Practices : 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 : Experience : 6-8 years of IT experience, with a focus on data architecture or enterprise data management. Technical Skills : 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.