The Senior Data Engineer will lead the design, optimization, and support of enterprise-grade, high-availability data platforms. This role is responsible for modernizing legacy systems, building scalable Azure and Snowflake-based pipelines, and enabling AI/ML-ready data ecosystems. The ideal candidate will combine robust production support expertise with a forward-looking mindset to architect and deliver future-ready data platforms. This position is based in Hyderabad, India.
• Principal ResponsibilitiesDevelop modern data pipelines using Azure Data Factory and Snowflake.
• Migrate and modernize legacy SSIS/SSRS workloads to cloud-native solutions.
• Implement DataOps practices, CI/CD pipelines, and automation.
• Ensure database and pipeline scalability, security, and performance.
• Partner with analytics and AI teams to deliver trusted, AI-ready data assets.
• Lead cloud migration initiatives across structured, semi-structured, and streaming data sources.
• Provide production support for enterprise data platforms, including database environments, pipelines and integrations.




• Provide root-cause analysis and preventive solutions for recurring production issues, minimizing downtime and improving stability.
• Contribute beyond technical scope when necessary, demonstrating versatility in a startup environment.
• QualificationsExperience with Azure Data Factory, Synapse, Data Lake, and Snowflake.
• Experience with in-schema design, performance tuning, and data architecture.
• Familiarity with streaming frameworks (Kafka, Event Hubs) a plus.
• Minimum RequirementsBachelor’s degree in computer science, IT, or related field.
• 5–7 years of experience in enterprise data engineering.
• Hands-on experience with Azure cloud services and Snowflake.

About SpinTheoryAt SpinTheory.ai, we are shaping the future of data and AI by helping organizations scale insights and accelerate innovation. As a startup with big ambitions, we seek high-energy, adaptable professionals who thrive in

📌 Senior Data Engineer (Hyderabad)
🏢 SpinTheory
📍 Hyderabad