Senior Enterprise Data Engineer & Architect- ONSITE

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:

• 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.