Cognizant
Data Architect with PLSQL & Python & Redshift & Cloud AWSorAzureorGCP
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Chennai, Tamil Nadu, India
Work mode:
Hybrid
Published on:
27 August 2026
What they need
Job Title
Data Architect AWS/Azure/GCP, Redshift, ETL & Python
Experience
9–16 Years
Location
Chennai (Hybrid)
Job Summary
We are seeking an experienced Data Architect to design, build, and optimize scalable data solutions leveraging Amazon Redshift, PL/SQL, ETL tools, Python, and Cloud platforms (AWS/Azure/GCP). The ideal candidate will drive data architecture initiatives, ensure data integrity, improve data processing performance, and support enterprise-wide data-driven decision-making.
Key Responsibilities
- Design and implement scalable enterprise data architectures.
- Develop and optimize ETL processes for data integration and transformation.
- Build data models and data pipelines using PL/SQL and Redshift.
- Automate data workflows and processes using Python.
- Integrate and manage cloud-based data solutions using AWS, Azure, or GCP.
- Collaborate with business and technical stakeholders to gather requirements and define technical solutions.
- Optimize database performance, data storage, and retrieval mechanisms.
- Ensure adherence to data governance, security, and compliance standards.
- Troubleshoot production data issues and provide architectural guidance.
- Lead data modernization and continuous improvement initiatives.
Required Skills
- Strong experience in Data Architecture
- Expertise in PL/SQL
- Hands-on experience with Amazon Redshift
- Strong knowledge of ETL Tools and Data Integration
- Proficiency in Python
- Experience with AWS / Azure / GCP Cloud Platforms
- Data Modeling and Database Design
- Performance Tuning and Optimization
- Data Governance and Security Practices
Preferred Certifications
- AWS Certified Solutions Architect
- Google Cloud Professional Data Engineer
- Microsoft Certified: Azure Data Engineer Associate
Good to Have
- Experience in large-scale enterprise data transformation programs
- Exposure to modern data warehousing and cloud migration projects
- Team leadership and stakeholder management experience
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