Senior Denodo Data Architect

2 days ago


Houston, Texas, United States Nava Software Solutions LLC Full time
Job Overview

Nava Software Solutions LLC is seeking a highly skilled Senior Denodo Data Lead / Architect to oversee the execution of our data delivery strategy utilizing Denodo. This role involves guiding the team in building a self-sustainable BI platform, creating best practices, defining and governing data architecture standards, and leading development efforts.

Key Responsibilities
  • Collect feedback from users and stakeholders to prioritize and develop data-centric work products and support requests.
  • Work with internal and external partners to source, review, and deliver data-related solutions for projects.
  • Create and track KPIs for enterprise data virtualization service capability to share with management and the user community.
  • Drive the architecture, design, and technical leadership of the team.
Technical Requirements
  • Strong understanding of Data Virtualization principles with experience in Denodo administration and development, including installation, configuration, security, and cache management in a highly available enterprise environment.
  • Expertise in Denodo-specific features, including Data Catalog for metadata management, Data Movement for efficient data replication and distribution, and Resource Manager for optimizing resource allocation and ensuring high performance.
  • Comprehensive experience in data modeling, including business, logical, conceptual, and physical models, with practice in designing and implementing these models across various data environments.
  • 6+ years of SQL experience with demonstrated ability to optimize queries and manage large-scale data processing.
  • Familiarity with LDAP, SSL, and other security protocols to ensure secure data access.
  • Experience with JDBC, XML, and Web Services APIs, with a focus on integrating diverse data sources.
  • Basic understanding of SAP apps, including CDS views, BW queries, and HANA databases, with the ability to integrate these into broader data architectures.
  • Working knowledge of cloud-based data solutions, particularly in hybrid environments integrating on-premise systems (e.g., HANA, SQL Server). Experience with AWS cloud services (e.g., S3, RDS, Redshift, Lambda) is a plus.
Soft Skills
  • Problem-Solving and Complexity Management: Effectively manages complexity and ambiguity to find innovative solutions and solve problems.
  • Results-Oriented: Drives results by consistently achieving task completion and project closure, even in the face of challenges.
  • Adaptability: Thrives in a fast-paced environment, demonstrating flexibility and the ability to adjust to varying timelines and priorities.
  • Attention to Detail and Prioritization: Exhibits strong attention to detail while maintaining the ability to prioritize tasks effectively in alignment with business goals.
  • Interpersonal and Team Skills: Promotes healthy relationships and positive team dynamics through strong interpersonal skills.
  • Strategic Planning and Alignment: Demonstrates the ability to plan and align work with organizational priorities, emphasizing a sense of urgency where needed.
  • Business Insight and Influence: Leverages business knowledge to provide valuable insights and influence stakeholders effectively.
  • Leadership and Mentorship: Capable of mentoring team members and guiding them through complex technical challenges.
Qualifications
  • A bachelor's degree in Computer Science, Information Systems, or a related field is preferred. Equivalent work experience may be considered in lieu of a degree.
  • 8+ years of hands-on experience in data modeling and SQL, with a strong emphasis on designing and implementing data architectures.
  • 3+ years of experience working with Denodo or similar data virtualization platforms is highly desirable.
  • Experience with AWS and Databricks or similar data engineering platforms is a plus, particularly in the context of large-scale data processing and analytics.
Certifications
  • Desirable: Denodo Platform Certification (Architect level) or equivalent experience with demonstrated proficiency in Denodo administration and development.
  • Desirable: Certification in data architecture, Databricks (e.g., Databricks Certified Data Engineer), or other relevant data virtualization platforms.


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