Job Title : Data Architect
Location : Naperville, IL
Term : C2C/W2
Job Summary
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.
Required Skills
- 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