Sr. Data Engineer

The 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 strong production support expertise with a forward-looking mindset to architect and deliver future-ready data platforms.

This position is based in Hyderabad, India. Principal Responsibilities Develop 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. Qualifications Experience 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 Requirements Bachelor'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 SpinTheory At 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 dynamic environments and are ready to wear multiple hats to deliver success. Here, curiosity, commitment, and continuous learning are not optional; they are the foundation of everything we do.

Flexibility in client engagement, time zones, and schedules is key, and every team member plays a role in driving our shared mission. By joining us, you will help architect the next generation of enterprise data ecosystems while growing alongside a company that moves fast and builds boldly. Core Values: Integrity, Customer Success, Collaboration, Continuous Learning, and Innovation.