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Data Modelling Architect

• Posted 11 hours ago • Updated 3 hours ago

Contract W2

Contract Corp To Corp

Contract Independent

$65/Hr C2C

Merican Inc

Fitment

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Job Details

Skills

Big Data
Kubernetes
data integration
Data Warehousing
Data Analysis
Data Science
DATA SYSTEMS
SNOWFLAKE
Data Modelling
Amazon Web Services
Governance
Data Pipelines
Airflow
Mulesoft
Workflows
Data architecture
Data Quality
Data Transformation
Cloud Platform System
Event Driven Architecture
Python (Programming Language)
Relational Databases
Enterprise Integration
Extract Transform Load (ETL)
Customer Data Management
Apex Code
Business Analytics Applications
Enterprise Data Management
Information Engineering
Modelling Skills
Use Case Development

Summary

Job Title: Data Modelling Architect
Location: Remote (EST only )
Duration: 6+ Months

Job Description

We are seeking an experienced Data Modelling Architect to support enterprise data initiatives focused on scalable data modeling, ETL development, and unified data architecture. The ideal candidate will have strong expertise in modern data engineering practices, cloud-based data platforms, and enterprise integration technologies.

Scope of Work

Collaborate closely with Data Modeler teams to design, model, and map enterprise data for defined business use cases
Build and maintain unified data graphs based on requests from internal stakeholders and downstream consumers
Design, develop, and optimize scalable ETL and ELT pipelines
Manage, enhance, and support existing data graph frameworks and data integration workflows
Work with Product, Analytics, and Data Science teams to deliver high-quality data solutions
Ensure data quality, governance, monitoring, and orchestration best practices across pipelines

Required Skills & Qualifications

Strong experience in Data Engineering, Data Modeling, ETL development, and Data Architecture
Hands-on expertise with ETL tools, preferably Informatica
Experience working with Salesforce platforms and Salesforce data models
Strong knowledge of Apache Airflow and MuleSoft
Advanced SQL expertise with Snowflake and other relational databases
Strong Python programming skills with experience building complex custom ETL workflows
Experience developing both batch and real-time data pipelines
Hands-on experience with dbt for data transformation and modeling
Familiarity with AWS/Google Cloud Platform cloud platforms and distributed/event-driven architectures
Strong understanding of data warehousing, big data processing, and enterprise data modeling
Experience implementing data quality, monitoring, and orchestration frameworks
Ability to collaborate effectively with cross-functional business and technical teams

Preferred Qualifications

Experience working with Salesforce Flows and Apex
Prior experience designing enterprise-scale data integration and analytics solutions
Exposure to graph-based data architectures is a plus

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.

Dice Id: RTX1ca091
Position Id: 2026-2508
Posted 11 hours ago

Company Info

About Merican Inc

With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Our full-service offering and flexible delivery choices that combine cost, quality, effort, and risk are focused on addressing future issues for our customers. Our worldwide delivery method enables our customers to select the optimal supply plan for them.

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