Data Architect

Job Cloud Inc.
Naperville, United States of America
yesterday

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Naperville, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Google BigQuery
Cloud Computing
Information Systems
Databases
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Data Integration
ETL
Data Warehousing
Database Design
Database Development
DevOps
Python
PostgreSQL
Meta-Data Management
Microsoft SQL Server
MySQL
Oracle Applications
Performance Tuning
Scrum
Cloud Services
Standard Sql
Unstructured Data
Enterprise Data Management
Cloud Platform System
Snowflake
Spark
Togaf
Microsoft Fabric
Data Lake
PySpark
Information Technology
Data Lineage
Collibra
Kafka
Data Management
Physical Data Models
Terraform
Azure
Data Pipelines
Docker
Redshift
Databricks

Job description

We are seeking an experienced Data Architect to design, implement, and govern enterprise data architecture that supports business intelligence, analytics, AI/ML, and operational applications. The ideal candidate will have expertise in data modeling, cloud data platforms, data integration, governance, and modern data architectures. Key Responsibilities

  • Design enterprise data architecture, data models, and database solutions.
  • Develop conceptual, logical, and physical data models.
  • Define enterprise data standards, governance, and best practices.
  • Design scalable data lakes, data warehouses, and lakehouse architectures.
  • Work closely with business stakeholders, data engineers, analysts, and application teams.
  • Design ETL/ELT data pipelines and integration strategies.
  • Ensure data quality, security, privacy, and compliance.
  • Optimize database and cloud data platform performance.
  • Evaluate and recommend new technologies and architecture improvements.
  • Support cloud migration and modernization initiatives.
  • Establish metadata management, master data management (MDM), and data lineage.
  • Mentor technical teams on architecture standards and best practices.

Requirements

  • Strong experience in Data Architecture
  • Data Modeling (Conceptual, Logical & Physical)
  • Data Warehousing
  • Data Lake / Lakehouse Architecture
  • SQL
  • ETL/ELT Architecture
  • Cloud Platforms (AWS, Azure, or GCP)
  • Snowflake, Databricks, Redshift, Synapse, or BigQuery
  • Data Governance
  • Metadata Management
  • Master Data Management (MDM)
  • Data Quality Frameworks
  • Database Design (Oracle, SQL Server, PostgreSQL, MySQL)
  • Performance Tuning
  • API & Data Integration
  • Agile/Scrum methodology

Preferred Skills

  • Python or Java
  • Spark / PySpark
  • Kafka
  • Terraform
  • Docker & Kubernetes
  • DevOps / CI-CD
  • AI/ML Data Platforms
  • Data Mesh
  • Data Fabric
  • Informatica / Collibra / Alation
  • Microsoft Purview

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • Master's degree preferred.

Experience

  • 10 15+ years in Data Engineering, Data Architecture, or Enterprise Data Management.
  • Experience designing enterprise-scale data platforms.
  • Hands-on experience with cloud-native data solutions.
  • Experience with large-scale structured and unstructured data.

Nice to Have

  • TOGAF Certification
  • AWS/Azure/GCP Cloud Certification
  • Snowflake Certification
  • Databricks Certification
  • DAMA/CDMP Certification

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