We are open for Contract and Full-time both.
Role Summary:
We are seeking a Quantexa Technical Consultant with deep expertise in Entity Consolidation and Entity Resolution (ER) using the Quantexa platform. The consultant will be responsible for designing, configuring, and implementing highaccuracy entity matching, survivorship, and relationship modeling solutions to create a golden source of entities across complex, heterogeneous data sets.
This role focuses on data unification, customer/entity mastering, relationship modeling, and graph-based consolidation, supporting enterprise initiatives such as Customer 360, Legal Entity Hierarchies, Counterparty Aggregation, and Data Quality remediation.
Key Responsibilities:
1) Entity Consolidation & Resolution Design
Design and implement Quantexa Entity Resolution (ER) frameworks to consolidate fragmented entity records across multiple source systems
Define and configure matching strategies, including deterministic, probabilistic, and rulesbased matching
Develop and tune blocking, scoring, and threshold logic to optimize precision and recall
Design entity survivorship and attribute resolution rules to establish golden records
2) Data Modeling & Relationship Engineering
Model entities, attributes, and relationships (e.g., person, organization, account, hierarchy, ownership, affiliations)
Design and optimize graph structures to support connected entity views and lineage traceability
Support hierarchy construction (legal entity hierarchies, householding, corporate ownership structures)
3) Data Engineering & Pipeline Development
Build and maintain Sparkbased ingestion and transformation pipelines for structured and semistructured data
Perform data standardization, normalization, enrichment, and quality validation prior to ER processing
Optimize pipeline performance for largescale entity datasets
4) Quantexa Platform Configuration
Configure and manage
Entity schemas and data models
ER rules, weights, thresholds, and scoring logic
Matching workflows and resolution pipelines
Develop custom extensions or transformations using Scala/Java where required
Perform ER tuning and remediation based on false match / missed match analysis
5) Integration & Deployment
Deploy Quantexa ER pipelines in cloud (AWS/Azure) or onprem environments
Integrate mastered entity outputs with downstream systems (MDM, reporting platforms, analytics tools, enterprise data lakes)
Support UAT, production deployment, and postimplementation stabilization
6) Stakeholder Collaboration & Delivery
Work closely with data governance, architecture, and business stakeholders
Participate in entity definition workshops, data discovery, and resolution design sessions
Provide documentation, knowledge transfer, and bestpractice guidance on entity consolidation
Required Skills & Experience
MustHave:
5+ years of experience in data engineering, MDM, or entity resolution implementations
Handson experience with Quantexa Entity Resolution / Entity Consolidation module
Strong understanding of:
Deterministic vs probabilistic matching
Fuzzy matching, scoring, thresholds, and confidence metrics
Survivorship and golden record creation
Strong experience with Apache Spark and largescale data processing
Proficiency in Scala or Java (SQL and Python exposure is a plus)
Good to Have:
Experience with Customer 360, Legal Entity Aggregation, or Risk Data Aggregation (BCBS 239) initiatives
Experience integrating Quantexa ER outputs with MDM platforms or enterprise data lakes
Exposure to data quality, lineage, and governance frameworks
Cloud deployment experience (AWS / Azure)
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