Senior Denodo Data Architect
2 days ago
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.
- 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.
- 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.
- 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.
- 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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