What are the responsibilities and job description for the Teradata Developer position at Donato Technologies Inc?
The Teradata Architect is responsible for designing, implementing, and maintaining scalable, high-performance data solutions using Teradata technologies. This role involves defining enterprise data architecture strategies, creating data models, and ensuring optimal performance for analytics and reporting platforms. The architect collaborates with business stakeholders, data engineers, and IT teams to deliver robust data platforms that support decision-making across the enterprise.
Key Responsibilities Solution Design Architecture
- Lead the design and architecture of enterprise data warehouse solutions using Teradata.
- Develop integration strategies and performance optimization techniques.
- Ensure solutions comply with enterprise architecture standards and best practices
- Develop reusable Python scripts for automation, data transformation, and validation
Platform Strategy Governance
- Evaluate Teradata platform features and create technology roadmaps.
- Establish platform standards, integration patterns, and governance frameworks.
- Perform Proof of Concept (POC) for new capabilities and onboard pilot projects.
Technical Leadership
- Provide guidance on Teradata utilities (TPT, BTEQ, FastLoad, MultiLoad, TPump).
- Optimize queries, indexing, and workload management for high performance.
- Collaborate with cross-functional teams to ensure seamless integration.
Data Management
- Oversee ETL/ELT processes and data migration strategies.
- Ensure data quality, security, and compliance with regulatory requirements.
- Implement best practices for data lifecycle management and metadata governance.
Required Skills Qualifications
Experience:
- At least 5 years of Experience in Teradata solutions.
- Strong background in Enterprise Data Warehouse (EDW) concepts, dimensional modeling, and performance tuning.
Technical Expertise:
- Proficiency in Teradata tools and utilities (TPT, BTEQ, FastLoad, MultiLoad).
- Advanced SQL skills and experience with ETL tools (Informatica, SAS DI).
- Familiarity with Teradata Vantage features like QueryGrid, NOS, and ClearScape Analytics.
- Hands-on coding experience in Python or similar scripting languages
Certifications:
- Teradata Certified Professional (preferred).
Preferred Qualifications
- Experience with cloud platforms (AWS, Azure) and hybrid architectures.
- Knowledge of big data technologies (Hadoop, Spark) and data governance frameworks.