Key Responsibilities The ideal candidate will have a robust understanding of SQL, KQL, various data platforms, Data Fabric, and Big Data technologies.

 Design and Development: Architect, design, and develop scalable and robust data models and structures to support various business needs.

 Data Integration: Integrate disparate data sources into a unified system ensuring data consistency and quality.

 Data Management: Implement data management strategies, including data governance, data quality, and data lineage.

 Optimization and Performance Tuning: Optimize database performance and data processing workflows to ensure high efficiency.

 Data products: Create Data contracts, process to create/update Data products

 Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver data products.

 Documentation: Create and maintain comprehensive documentation for data architecture, data flows, and infrastructure.

 Security and Compliance: Ensure data security, privacy, and compliance with relevant regulations and policies.

Required Skills and Qualifications

 Educational Background: Bachelor's or Master's degree in Computer Science,

Information Technology,



or a related field.

 Experience: Proven experience as a Data Architect or in a similar role.

 Technical Proficiency:

 Strong knowledge of SQL and KQL.

 Experience with various data platforms (e.g., relational databases, NoSQL databases, cloud-based data services).

 Familiarity with Data Fabric concepts and implementations.

 Hands-on experience with Big Data technologies (e.g., Hadoop, Spark,

Kafka).

 Experience working with telemetry data and semi-structured data.

Analytical Skills: Excellent problem-solving skills with the ability to analyze complex data requirements and design efficient solutions.

Communication Skills: Robust verbal and written communication skills with the ability to convey technical information effectively.

Attention to Detail: High level of accuracy and attention to detail in all aspects of work.

Preferred Qualifications

 Experience with data visualization tools (e.g., Power BI, Tableau).

 Familiarity with machine learning and AI concepts.

 Certification in relevant technologies or methodologies.

 Knowledge of IoT (Internet of Things).

📌 Data Architect for IoT (Hyderabad)
🏢 Trigent Software
📍 Hyderabad