What is the salary for this Principal Data Engineer role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Jobgether.

Where is this Principal Data Engineer position located?

This is an on-site position at Jobgether located in India, Asia.

How do I apply for this Principal Data Engineer job at Jobgether?

Click the 'Apply' button on this page to be redirected to Jobgether's application portal. Make sure to have your resume ready and tailor your application to highlight relevant experience.

Jobgether is actively hiring for Data roles. Visit the company page to see all open positions and learn more about working at Jobgether.

Principal Data Engineer

Jobgether India 2 days ago

data

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Engineer in India.

In this role, you will lead the design, development, and optimization of large-scale data architecture and pipelines that power business intelligence, analytics, and AI/ML initiatives. You will work closely with data engineers, analysts, data scientists, and product teams to deliver reliable, scalable, and efficient solutions across cloud platforms. This position offers the opportunity to influence data strategy, define best practices, and drive innovation in a collaborative, fast-paced environment. You will mentor and guide a team of engineers while shaping the long-term vision for data engineering. Your work will directly impact decision-making and enable insights that support business growth and operational excellence.

Accountabilities

Lead and mentor a team of data engineers, fostering technical excellence, collaboration, and professional growth.

Architect and implement end-to-end data pipelines across cloud platforms, ensuring high performance, resilience, and cost efficiency.

Collaborate with analysts, data scientists, and product teams to translate business requirements into scalable data solutions.

Establish and enforce standards for data quality, governance, observability, and operational excellence.

Design and optimize data models, ELT/ETL processes, and pipeline architectures for analytics, BI, and machine learning workloads.

Implement modern CI/CD, testing frameworks, and data pipeline deployment practices.

Apply advanced tools and techniques, including AI-driven approaches, to optimize data workflows and automate processes.

Stay current with emerging trends in data engineering and evolve team capabilities and toolsets accordingly.

Requirements

10+ years of experience in data engineering, including at least 3 years in a leadership or principal role.

Proven track record designing and implementing large-scale, enterprise-grade data pipelines and architectures.

Expertise in cloud platforms such as AWS and Azure; familiarity with Snowflake is a strong plus.

Strong proficiency in SQL, Python, and modern data modeling practices.

Hands-on experience with batch and streaming frameworks such as Spark, Kafka, Kinesis, and Hadoop.

Knowledge of ETL/ELT paradigms and modern data integration/orchestration tools (Fivetran, Nexla, Airflow).

Familiarity with Data Lakehouse architectures, data mesh concepts, and hybrid/multi-cloud strategies.

Excellent leadership, communication, and stakeholder management skills.

Ability to make scalable architecture decisions and apply modern engineering patterns to platform design.

Benefits

Competitive salary and comprehensive benefits package, including performance-based bonuses and stock grants.

Fully remote role with flexible working arrangements.

Opportunity to lead high-impact data engineering initiatives in a fast-growing, innovative environment.

Collaboration with cross-functional teams including analysts, data scientists, and product leaders.

Access to professional development programs and learning resources.

Exposure to advanced cloud platforms, data pipelines, and AI/ML-driven data solutions.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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