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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: Integrity, Customer Success, Collaboration, Continuous Learning, and Bold Innovation.
 

recruiting@spintheory.ai

Position Summary
The Database Engineer will ensure smooth operation and optimization of enterprise data platforms, primarily Snowflake and SQL Server, while supporting and maturing the Azure data stack. This role bridges operational support and future-focused engineering by maintaining the integrity of existing systems and designing pipelines that enable scalable, cloud-native infrastructure. This position is based in Hyderabad, India.

Principal Responsibilities

• Support and optimize existing database technologies (Snowflake, SQL Server).
• Troubleshoot and improve query performance and schema design.
• Build and manage data pipelines using Azure Data Factory and Synapse Analytics.
• Conduct proactive monitoring, health checks, and performance tuning.
• Collaborate with engineering and business stakeholders to modernize the data platform.
• Ensure SLA compliance and effective incident/change management.
• Show flexibility in working with clients across multiple time zones.
• Deliver production support for databases and data pipelines, handling incidents, performance bottlenecks, and schema-related changes.
• Monitor database health and proactively address alerts, ensuring high availability and reliability.
• Contribute beyond core responsibilities where needed, embracing the startup culture      of agility.

Qualifications

• Strong expertise in Snowflake, SQL, and data warehouse design principles.
• Experience with Azure SQL Database, Synapse Analytics, and Data Lake.
• Knowledge of ETL/ELT pipelines and performance optimization.
• Familiarity with incident/change management tools like JIRA.

Minimum Requirements

• Bachelor’s degree in computer science, IT, or related discipline.
• 5–7 years of database engineering or support experience.
• Proven background in database performance tuning and administration.

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: Integrity, Customer Success, Collaboration, Continuous Learning, and Bold Innovation.
 

recruiting@spintheory.ai

Position Summary

The Senior Data Engineer – Azure Data Factory (ADF) will architect, design, and deliver enterprise-scale data pipelines that power analytics, reporting, and AI initiatives. This role will focus on building modern, automated data workflows using ADF, ensuring speed, reliability, and scalability. The ideal candidate will combine strong cloud engineering expertise with a delivery mindset to accelerate data modernization. This position is based in Hyderabad, India.

Principal Responsibilities

• Architect and build robust, scalable data pipelines using Azure Data Factory.
• Modernize and migrate legacy SSIS/SSRS workloads into ADF-based pipelines.
• Implement pipeline orchestration, automation, and monitoring.
• Integrate diverse data sources (structured, semi-structured, APIs, streaming).
• Ensure best practices in security, compliance, and performance optimization.
• Collaborate with analytics and BI teams to deliver timely, trusted data for decision-making.
• Adopt iterative, agile delivery models for faster business value realization.
• Mentor junior engineers on ADF best practices and DevOps automation.
• Provide production support and resolve performance bottlenecks in pipelines.

Qualifications

• Advanced expertise in Azure Data Factory pipeline design and orchestration.
• Strong experience with SQL Server, Synapse, and cloud data services.
• Familiarity with Snowflake, Power BI, and other Azure-native data tools.
• Knowledge of CI/CD practices, Git-based workflow, and DevOps for data pipelines.
• Experience in legacy ETL modernization (SSIS to ADF migration).

Minimum Requirements

• Bachelor’s degree in Computer Science, IT, or related field.
• 7–10 years of experience in enterprise ETL/data engineering, with 3+ years in Azure Data Factory.
• Strong knowledge of the Azure ecosystem and modern data integration techniques.

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: Integrity, Customer Success, Collaboration, Continuous Learning, and Bold Innovation.
 

recruiting@spintheory.ai

Position Summary

The Senior Data Engineer (Snowflake Architect) will lead the architecture, design, and development of enterprise-grade Snowflake data lakes. This role will focus on building scalable, AI/ML-ready data ecosystems while modernizing existing systems. The ideal candidate will combine deep Snowflake expertise with strong data architecture skills to deliver trusted, performant, and future-ready data platforms. This position is based in Hyderabad, India.

Principal Responsibilities

• Architect and design large-scale Snowflake data lakes, ensuring scalability, security, and high-availability.
• Build advanced data ingestion, transformation, and curation frameworks for structured and semi-structured data.
• Implement DataOps practices, CI/CD automation, and governance controls in Snowflake.
• Partner with analytics and AI teams to deliver high-quality, AI/ML-ready data products.
• Drive modernization of legacy warehouses into Snowflake-based cloud-native solutions.
• Optimize Snowflake schema design, query performance, and storage cost management.
• Lead technical design sessions and mentor engineers on Snowflake best practices.
• Provide production support, including root-cause analysis and performance remediation.

Qualifications

• Expert-level experience in Snowflake architecture, schema design, and query optimization.
• Proficiency in SQL, stored procedures, and performance tuning.
• Strong experience with Azure Data Lake, Synapse, and related Azure ecosystem tools.
• Familiarity with streaming and real-time data integration a plus (Kafka, Event Hubs).
• Demonstrated leadership in building enterprise-scale Snowflake platforms.

Minimum Requirements

• Bachelor’s degree in Computer Science, IT, or related field.
• 7–10 years of experience in enterprise data engineering, with at least 3 years focused on Snowflake.
• Hands-on experience with Azure cloud services and modern data architecture.

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: Integrity, Customer Success, Collaboration, Continuous Learning, and Bold Innovation.
 

recruiting@spintheory.ai

Position Summary

The Cognitive Search Engineer will lead the design and implementation of AI-powered search and discovery solutions. This role enables natural language insights from structured and unstructured data, reports, and dashboards. The ideal candidate will combine expertise in Azure Cognitive Search and data engineering with a passion for delivering intuitive user experiences and business value. This position is based in Hyderabad, India.

Principal Responsibilities

• Architect and implement cognitive search solutions using Azure Cognitive Search and related AI services.
• Build pipelines to ingest, index, and enrich data from diverse sources (databases, reports, dashboards, documents).
• Enable natural language query capabilities for business users to interact with enterprise data.
• Integrate semantic search, embeddings, and generative AI techniques for advanced insights.
• Collaborate with business teams to define use cases in finance, operations, and reporting.
• Partner with data lake and ADF pipeline teams to ensure seamless integration.
• Adopt agile, iterative delivery to validate and scale solutions rapidly.
• Ensure compliance, data security, and ethical AI usage in search solutions.
• Mentor team members on AI search and NLP best practices.

Qualifications

• Strong experience with Azure Cognitive Search, Cognitive Services, and AI/ML frameworks.
• Proficiency in SQL, data modeling, and data integration for search indexing.
• Familiarity with embeddings, NLP, and vector search technologies.
• Experience connecting search solutions to BI tools, reports, and dashboards.
• Strong understanding of data governance and enterprise data management.

Minimum Requirements

• Bachelor’s degree in Computer Science, IT, or related field.
• 7–10 years of experience in data engineering, with 2+ years in cognitive search/NLP solutions.
• Hands-on experience with Azure cloud ecosystem, Snowflake/Synapse, and modern data platforms.

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: Integrity, Customer Success, Collaboration, Continuous Learning, and Bold Innovation.

recruiting@spintheory.ai

Position Summary

The Analytics Engineer will support and maintain current BI and reporting systems (SSRS, Power BI, SSIS/SSAS, Azure Data Factory) while advancing the organization’s analytics capabilities. This role is pivotal in enabling self-service analytics, integrating AI and machine learning insights, and ensuring a scalable data environment that empowers business stakeholders with timely, accurate, and future-ready analytics. This position is based in Hyderabad, India.

Principal Responsibilities

• Provide BI/reporting support across SSRS, SSIS, and Power BI, ensuring reliability and accuracy.
• Monitor, troubleshoot, and optimize ETL jobs and data refresh processes.
• Enhance performance and usability of dashboards and reports.
• Standardize reusable data assets to enable self-service analytics.
• Collaborate with data science teams to embed AI/ML-driven insights into analytics delivery.
• Balance support of current infrastructure with continuous innovation in advanced analytics.
• Provide day-to-day production support of analytics platforms, ensuring up time, data accuracy, and SLA adherence.
• Diagnose and resolve incidents, including failures, data refresh issues and user access related issues.
• Adapt to shifting client priorities and time zones, ensuring flexibility in delivery.
• Take on responsibilities beyond the role when required, demonstrating startup agility and a problem-solving mindset.

Qualifications

• Expertise in BI tools: SSRS, Power BI, SSIS, SSAS.
• Proficiency in SQL Server query optimization and tuning.
• Experience with Azure Data Factory, Synapse Analytics, and data warehouse schema design.
• Strong problem-solving skills and stakeholder communication.
• Exposure to AI/ML model integration in analytics workflows is highly desirable.

Minimum Requirements

• Bachelor’s degree in computer science, Information Systems, or related discipline.
• 5–7 years of BI and reporting support experience.
• Strong technical foundation in BI platforms and Azure ecosystem.

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: Integrity, Customer Success, Collaboration, Continuous Learning, and Bold Innovation.

recruiting@spintheory.ai