Principal Engineer - Data Engineer
full-time•Tada
Summary
About this role
Duties & Responsibilities
Define and Drive Enterprise Data Strategy
Develop and own the strategic architecture for enterprise-scale data platforms, pipelines, and ecosystems, ensuring alignment with business objectives and long-term scalability.
Architect High-Performance Data Solutions
Lead the design and implementation of robust, large-scale data solutions across multi-cloud environments (AWS, Azure, GCP), optimizing for performance, reliability, and cost efficiency.
Establish Engineering Excellence
Create and enforce best practices, coding standards, and architectural frameworks for data engineering teams, fostering a culture of quality, automation, and continuous improvement.
Provide Technical Leadership and Mentorship
Act as a trusted advisor and mentor to engineers across multiple teams and levels, guiding technical decisions, career development, and knowledge sharing.
Align Data Strategy with Business Goals
Partner with senior business and technology stakeholders to translate organizational objectives into actionable data strategies, ensuring measurable business impact.
Champion Modern Data Stack Adoption
Drive the adoption and integration of cutting-edge technologies such as Snowflake, DBT, Airflow, Kafka, Spark, and other orchestration and streaming tools to modernize data infrastructure.
Architect and Optimize Data Ecosystems
Design and manage enterprise-grade data warehouses, data lakes, and real-time streaming pipelines, ensuring scalability, security, and high availability.
Implement Enterprise Testing and Observability
Establish rigorous testing, validation, monitoring, and observability frameworks to guarantee data integrity, reliability, and compliance across all environments.
Ensure Governance and Compliance
Oversee data governance initiatives, including lineage tracking, security protocols, regulatory compliance, and privacy standards across platforms.
Enable Cross-Functional Collaboration
Work closely with analytics, data science, and product teams to deliver trusted, business-ready data that accelerates insights and decision-making.
Provide Thought Leadership
Stay ahead of emerging technologies and industry trends, influencing enterprise data strategy and advocating for innovative solutions that drive competitive advantage.
Lead Enterprise-Scale Deployments
Oversee large-scale data platform deployments, ensuring operational excellence, scalability, and cost optimization for global business needs.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (Master’s or equivalent advanced degree preferred)
11–15 years of progressive experience in data engineering or related fields
Deep expertise in SQL, data warehousing, and large-scale data modeling
Minimum 5 years of experience with Snowflake or another modern cloud data warehouse at scale
Minimum 3 years of experience with Python or equivalent programming languages for ETL/ELT and automation
Proven experience architecting data platforms on major cloud providers (AWS, Azure, or GCP)
Hands-on experience with orchestration tools (Airflow, ADF, Luigi, etc.) and data transformation frameworks (DBT)
Strong track record in designing and implementing large-scale data pipelines and solutions
Demonstrated experience leading cross-functional teams and mentoring senior engineers
Excellent communication skills for engaging with business stakeholders and cross-functional partners
Preferred Qualifications
Expertise in Real-Time Data Processing
Hands-on experience with streaming platforms such as Apache Kafka, Spark Streaming, and Apache Flink, enabling low-latency, high-throughput data pipelines for real-time analytics.
Strong DevOps and CI/CD Practices
Deep understanding of DevOps principles, automated CI/CD pipelines, and Git-based workflows tailored for data engineering environments, ensuring rapid, reliable deployments.
Domain Knowledge in Retail and E-Commerce
Proven experience working with customer-centric data ecosystems, leveraging data to drive personalization, operational efficiency, and business growth in retail or e-commerce contexts.
Track Record of Driving Innovation
Recognized for introducing technical innovations, improving engineering processes, and advancing organizational data maturity through strategic initiatives.
Experience in ML Ops and AI/ML Lifecycle
Practical knowledge of ML Ops frameworks, including building data pipelines for model training, managing feature stores, and implementing monitoring solutions for AI/ML models in production.
Strategic Alignment and Leadership
Ability to understand and interpret organizational vision and decision-making frameworks, aligning team objectives and personal goals to deliver measurable business impact.
Technology Evangelism and Trend Awareness
Up-to-date with emerging technologies, industry best practices, and modern data architectures; consistently brings innovative ideas and thought leadership to the team.
Define and Drive Enterprise Data Strategy
Develop and own the strategic architecture for enterprise-scale data platforms, pipelines, and ecosystems, ensuring alignment with business objectives and long-term scalability.
Architect High-Performance Data Solutions
Lead the design and implementation of robust, large-scale data solutions across multi-cloud environments (AWS, Azure, GCP), optimizing for performance, reliability, and cost efficiency.
Establish Engineering Excellence
Create and enforce best practices, coding standards, and architectural frameworks for data engineering teams, fostering a culture of quality, automation, and continuous improvement.
Provide Technical Leadership and Mentorship
Act as a trusted advisor and mentor to engineers across multiple teams and levels, guiding technical decisions, career development, and knowledge sharing.
Align Data Strategy with Business Goals
Partner with senior business and technology stakeholders to translate organizational objectives into actionable data strategies, ensuring measurable business impact.
Champion Modern Data Stack Adoption
Drive the adoption and integration of cutting-edge technologies such as Snowflake, DBT, Airflow, Kafka, Spark, and other orchestration and streaming tools to modernize data infrastructure.
Architect and Optimize Data Ecosystems
Design and manage enterprise-grade data warehouses, data lakes, and real-time streaming pipelines, ensuring scalability, security, and high availability.
Implement Enterprise Testing and Observability
Establish rigorous testing, validation, monitoring, and observability frameworks to guarantee data integrity, reliability, and compliance across all environments.
Ensure Governance and Compliance
Oversee data governance initiatives, including lineage tracking, security protocols, regulatory compliance, and privacy standards across platforms.
Enable Cross-Functional Collaboration
Work closely with analytics, data science, and product teams to deliver trusted, business-ready data that accelerates insights and decision-making.
Provide Thought Leadership
Stay ahead of emerging technologies and industry trends, influencing enterprise data strategy and advocating for innovative solutions that drive competitive advantage.
Lead Enterprise-Scale Deployments
Oversee large-scale data platform deployments, ensuring operational excellence, scalability, and cost optimization for global business needs.
Requirements
Basic QualificationsBachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (Master’s or equivalent advanced degree preferred)
11–15 years of progressive experience in data engineering or related fields
Deep expertise in SQL, data warehousing, and large-scale data modeling
Minimum 5 years of experience with Snowflake or another modern cloud data warehouse at scale
Minimum 3 years of experience with Python or equivalent programming languages for ETL/ELT and automation
Proven experience architecting data platforms on major cloud providers (AWS, Azure, or GCP)
Hands-on experience with orchestration tools (Airflow, ADF, Luigi, etc.) and data transformation frameworks (DBT)
Strong track record in designing and implementing large-scale data pipelines and solutions
Demonstrated experience leading cross-functional teams and mentoring senior engineers
Excellent communication skills for engaging with business stakeholders and cross-functional partners
Preferred Qualifications
Expertise in Real-Time Data Processing
Hands-on experience with streaming platforms such as Apache Kafka, Spark Streaming, and Apache Flink, enabling low-latency, high-throughput data pipelines for real-time analytics.
Strong DevOps and CI/CD Practices
Deep understanding of DevOps principles, automated CI/CD pipelines, and Git-based workflows tailored for data engineering environments, ensuring rapid, reliable deployments.
Domain Knowledge in Retail and E-Commerce
Proven experience working with customer-centric data ecosystems, leveraging data to drive personalization, operational efficiency, and business growth in retail or e-commerce contexts.
Track Record of Driving Innovation
Recognized for introducing technical innovations, improving engineering processes, and advancing organizational data maturity through strategic initiatives.
Experience in ML Ops and AI/ML Lifecycle
Practical knowledge of ML Ops frameworks, including building data pipelines for model training, managing feature stores, and implementing monitoring solutions for AI/ML models in production.
Strategic Alignment and Leadership
Ability to understand and interpret organizational vision and decision-making frameworks, aligning team objectives and personal goals to deliver measurable business impact.
Technology Evangelism and Trend Awareness
Up-to-date with emerging technologies, industry best practices, and modern data architectures; consistently brings innovative ideas and thought leadership to the team.
What you'll do
- This role involves defining and driving the enterprise data strategy, architecting strategic, large-scale data platforms across multi-cloud environments, and establishing engineering best practices. The Principal Engineer will also provide technical leadership, mentor teams, and ensure data strategy aligns with core business goals.
About Staples India Business Innovation Hub Private Limited
Be the reason bold ideas take off.
At Staples India, we’re not just a tech arm—we’re the innovation engine fueling global transformation at Staples. From Chennai, we build tomorrow’s solutions for today’s challenges.
For nearly 40 years, Staples has been the industry leader in delivering end-to-end workplace solutions for consumers and businesses of all sizes with a comprehensive product assortment including high-quality office supplies, janitorial products, technology, furniture and breakroom essentials, along with strategic services like print & marketing, shipping, travel, and promotional products.
Our team develops cutting-edge solutions that define the future of workplace productivity and sustainability.
Ready to join Staples India Business Innovation Hub Private Limited?
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Frequently Asked Questions
What does a Principal Engineer - Data Engineer do at Staples India Business Innovation Hub Private Limited?
As a Principal Engineer - Data Engineer at Staples India Business Innovation Hub Private Limited, you will: this role involves defining and driving the enterprise data strategy, architecting strategic, large-scale data platforms across multi-cloud environments, and establishing engineering best practices. The Principal Engineer will also provide technical leadership, mentor teams, and ensure data strategy aligns with core business goals..
Is the Principal Engineer - Data Engineer position at Staples India Business Innovation Hub Private Limited remote?
The Principal Engineer - Data Engineer position at Staples India Business Innovation Hub Private Limited is based in Tada, Andhra Pradesh, India. Contact the company through Clera for specific work arrangement details.
How do I apply for the Principal Engineer - Data Engineer position at Staples India Business Innovation Hub Private Limited?
You can apply for the Principal Engineer - Data Engineer position at Staples India Business Innovation Hub Private Limited directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.