Senior Enterprise Data Architect

Overview

On Site
$80 - $90
Contract - W2
Contract - 12 Month(s)

Skills

Senior Enterprise Data Architect
cloud data platforms
data governance frameworks and compliance requirements
AI/ML data architectures

Job Details

Senior Enterprise Data Architect

Location: On-site in Houston

Contract Duration: 6-12 months

Job Summary:

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.

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: 6-12 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.
  • Collaboration Skills: Ability to work effectively across multiple functions and teams to deliver comprehensive data solutions.
  • Analytical Skills: 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).

Working Conditions:

  • This position requires on-site work in Houston.
  • Ability to work regular hours with occasional or mandatory overtime as needed.
  • Required to participate in CenterPoint Energy s Emergency Operation Plan (EOP).
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About Cloud Destinations LLC