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Sr. Data Engineer

Sr. Data Engineer

Position Summary

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 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

  • Design and build 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.
  • Mentor junior engineers, fostering a culture of continuous learning and adaptability.
  • 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

  • Advanced SQL Server administration and T-SQL expertise.
  • Strong experience with Azure Data Factory, Synapse, Data Lake, and Snowflake.
  • Proficiency in schema design, performance tuning, and data architecture.
  • Familiarity with streaming frameworks (Kafka, Event Hubs) a plus.
  • Demonstrated leadership in data modernization and transformation projects.

Minimum Requirements

  • Bachelor’s degree in computer science, IT, or related field.
  • 7–10 years of experience in SQL Server and enterprise data engineering.
  • Hands-on experience with Azure cloud services and Snowflake.

About SpinTheory

At SpinTheory.ai, we are not just building data platforms; we are engineering the future of how organizations harness data and AI. We aim to transform enterprise complexity into clarity, speed, and measurable business value. As a high-growth startup with global ambitions, we thrive on bold thinking, rapid execution, and relentless curiosity.

We believe in empowering our people as much as our clients. At SpinTheory, you won’t just “do a job”; you will architect the next generation of data and AI ecosystems, working side by side with innovators who challenge the status quo. Flexibility, ownership, and adaptability aren’t perks here; they are part of the DNA that fuels our growth.

By joining us, you enter a culture where integrity drives action, customer success defines impact, collaboration sparks innovation, and continuous learning is the only constant. Together, we’re creating a future where data and AI don’t just inform decisions, they accelerate possibilities.

Core Values

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