Data Architect / Modeler

Nityo Infotech Corporation
Westwood, United States of America
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Westwood, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Big Data
Information Systems
Data as a Services
Data Architecture
Information Engineering
Data Governance
Data Integration
ETL
Database Queries
Distributed Data Store
Interoperability
Python
Metadata
Meta-Data Management
Snowflake
Spark
Information Technology
Data Analytics
Kafka
Physical Data Models
Data Pipelines

Job description

The Business Data Architect/Modeler (Contract) will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and realtime streaming architectures using Kafka. This role drives alignment across business domains and enables highquality, governed, and interoperable data for analytics and operational use cases., * Develop and enhance canonical data models, semantic models, and domaindriven data contracts to enable crossenterprise data interoperability.

  • Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles.
  • Design and implement data architecture patterns to support realtime streaming solutions using Kafka.
  • Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, wellgoverned data models.
  • Ensure consistent application of data governance, metadata management, and lineage standards across data domains.
  • Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda) and Snowflake.
  • Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.
  • Support enterprise initiatives around realtime data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations.

Requirements

  • Significant experience with canonical data modeling and enterprisewide conceptual/logical/physical modeling.
  • Strong background in semantic modeling and data mesh design principles.
  • Handson experience with Kafka, including event modeling, schema strategy, and realtime pipeline architecture.
  • Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake.
  • Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.
  • Familiarity with data governance, data quality, metadata, and lineage frameworks.
  • Strong SQL skills and proficiency in at least one programming language (Python preferred).
  • Excellent communication skills with the ability to work across technical and business teams.

Preferred Qualifications

  • Experience with big data technologies (Spark, EMR, Delta, or similar).
  • Handson experience with enterprise data catalog and metadata systems.
  • AWS certification (Solutions Architect, Data Analytics Specialty, etc.).
  • Bachelor s degree in computer science, Information Systems, or related field (Master s preferred).

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