What are the responsibilities and job description for the Denodo Technical Architect position at Laiba Technologies LLC?
Job Details
Position: Denodo Technical Architect
Location: Weehawken, NJ (Onsite)
Experience level: 8-10 Year
Must have skills: Denodo tech SME/Architects, Databricks, Azure
Candidates with the Denodo architecture MPP caching Azure installation combination required by requirement.
MPP is Multi Parallel Processing systems like BigQuery, Snowflake, etc
Caching is part of Denodo Optimization technique
MPP is outside denodo, about the Source systems that connects to Denodo
Important Notes:
Query Performance improvements
Denodo row and column level entitlements implementation and data classifications implementation strategy
DR Strategy - Warm/ Warm, Warm/ Cold , Infrastructure, Release process for MPP, maximum recommended views in one DB and release only the views that are changed
Review Data Sources Cert/Password Management
API bundling and hosting outside of Denodo
Understand more on Data Lineage Capabilities
Review specific use cases and opportunities to optimize
Denodo 9 enhancements and opportunities to refactor existing code/processes
Please focus on someone who knows the Denodo architecture, MPP systems, Caching and performance strategies and optimization with large volume of data. That is key.
Candidates should demonstrates the solid, hands-on expertise required to lead Denodo architecture. This includes practical experience with configuration and comfort with installations in Azure
Looking for a Data Architect with deep expertise in Denodo and MPP systems to lead performance optimization initiatives. The role requires diagnosing performance bottlenecks, optimizing caching strategies, and designing scalable architectures that minimize unnecessary compute and storage overhead. The ideal candidate will collaborate closely with data engineering and business teams to deliver impactful, cost-effective solutions.
Lead architectural design and optimization for Denodo-based data virtualization platforms.
Analyze performance issues and formulate caching strategies to reduce cost and latency.
Evaluate and integrate MPP database solutions for high-performance querying.
Guide internal teams on Denodo best practices and governance.
Deliver roadmap for architectural transformation aligned to business SLAs and cost targets.
10 years in data architecture with 5 years in Denodo or similar data virtualization platforms.
Proven experience in tuning high-volume virtual queries and designing federated architectures.
Strong background in MPP databases like Snowflake, Redshift, Synapse, or BigQuery.
Expertise in data modeling, semantic layer optimization, and query pushdown strategies.
Strong client engagement and leadership experience with cross-functional teams.
Denodo Certified Architect (strongly preferred).
Certification in any major MPP platform (e.g., Snowflake SnowPro, AWS Big Data Specialty).
TOGAF or other enterprise architecture certifications are a plus.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Advanced SQL, query optimization, and virtual data modeling.
In-depth knowledge of data caching layers, indexing, and cost-based query planning.
Experience with cloud-native data architectures (AWS, Azure, or Google Cloud Platform).
Strong documentation, communication, and stakeholder management.
Performance benchmarking tools and observability platforms integration.
