Data Architect with denodo

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - Long term
75% Travel

Skills

Data Architect
Denodo

Job Details

Role: Data Architect with Denodo

Client: HCL America

Location: Jersey City, New Jersey (Onsite)




Job Summary:
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.

Responsibilities
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.

Qualifications
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 Big Query.
Expertise in data modeling, semantic layer optimization, and query pushdown strategies.
Strong client engagement and leadership experience with cross-functional teams.
Certifications
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.

Skills
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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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