Data Engineer

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Data Engineer

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LTTS Dell Offsite Centre

Dallas, Texas

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Job Description

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Job Description & Skill Requirement:

We are seeking a highly experienced Database Architect / MongoDB Data Platform

Architect to lead the design and implementation of a next-generation MongoDB-based data platform

supporting an enterprise automation solution.

The architect will be responsible for defining scalable data models, designing ingestion and

validation frameworks, implementing data governance standards, and enabling reliable,

high-volume data processing to support workflow orchestration, analytics, AI-driven decision making, and operational automation.

This role requires deep expertise in MongoDB architecture, large-scale NoSQL data platforms,

streaming and batch data ingestion, schema governance, and cloud-native application architectures.

Key Responsibilities

Data Platform Architecture

Enterprise Data Modeling

Schema Management & Data Evolution

Multi-Tenancy & Data Governance

Data Ingestion Architecture

Validation & Data Quality Frameworks

Data Processing & Enrichment

Platform Observability & Monitoring

Performance & Scalability

Integration & Automation

Mandatory Technical Skills

Database & Data Platform

MongoDB Enterprise / Atlas

MongoDB Sharding & Replication

Aggregation Framework

Atlas Search

Schema Design & Optimization

Data Modeling for NoSQL platforms

Backup & Recovery Architecture

Data Engineering

Data Ingestion Frameworks

JSON Schema Validation

Data Governance

Data Quality Management

Data Migration Strategies

Metadata Management

Master Data Management (MDM)

Streaming & Event Platforms

Kafka

Event-Driven Architecture

CDC (Change Data Capture)

Streaming Data Processing

Cloud & Containers

Kubernetes

OpenShift

Docker

AWS / Azure / GCP

Programming

Python

Java

Node.js

Shell Scripting

DevOps

Git

CI/CD

Terraform

Ansible

GitOps Practices

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Job Requirement

Job Description & Skill Requirement:

We are seeking a highly experienced Database Architect / MongoDB Data Platform

Architect to lead the design and implementation of a next-generation MongoDB-based data platform

supporting an enterprise automation solution.

The architect will be responsible for defining scalable data models, designing ingestion and

validation frameworks, implementing data governance standards, and enabling reliable,

high-volume data processing to support workflow orchestration, analytics, AI-driven decision making, and operational automation.

This role requires deep expertise in MongoDB architecture, large-scale NoSQL data platforms,

streaming and batch data ingestion, schema governance, and cloud-native application architectures.

Key Responsibilities

Data Platform Architecture

Enterprise Data Modeling

Schema Management & Data Evolution

Multi-Tenancy & Data Governance

Data Ingestion Architecture

Validation & Data Quality Frameworks

Data Processing & Enrichment

Platform Observability & Monitoring

Performance & Scalability

Integration & Automation

Mandatory Technical Skills

Database & Data Platform

MongoDB Enterprise / Atlas

MongoDB Sharding & Replication

Aggregation Framework

Atlas Search

Schema Design & Optimization

Data Modeling for NoSQL platforms

Backup & Recovery Architecture

Data Engineering

Data Ingestion Frameworks

JSON Schema Validation

Data Governance

Data Quality Management

Data Migration Strategies

Metadata Management

Master Data Management (MDM)

Streaming & Event Platforms

Kafka

Event-Driven Architecture

CDC (Change Data Capture)

Streaming Data Processing

Cloud & Containers

Kubernetes

OpenShift

Docker

AWS / Azure / GCP

Programming

Python

Java

Node.js

Shell Scripting

DevOps

Git

CI/CD

Terraform

Ansible

GitOps Practices

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