Geared toward mid-level data engineers comfortable with AI-enabled development and large-scale distributed systems, based in Bengaluru.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from 6sense via Greenhouse
Our Mission:
6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.
Our People:
People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career.
About the Role
At 6sense, data powers our AI‑first products at massive scale. We’re looking for a Senior Software Engineer – Data who can design, own, and evolve large‑scale data systems end‑to‑end, while using AI tools (prompting + vibe coding) as a force multiplier.
This is not an ML research role. AI here means leveraging LLMs to accelerate engineering velocity and improve system quality. At this level, you are expected to drive architecture, lead complex problem solving, and influence technical direction across systems.
What You’ll Do
End-to-End System Ownership
Design, build, and operate large-scale batch and real-time data pipelines.
Take ownership of entire data domains (not just pipelines) including ingestion → transformation → serving layers.
Ensure high reliability, observability, and maintainability of data systems.
System Design & Architecture
Architect scalable, fault-tolerant data platforms handling high-throughput workloads.
Make critical decisions on data modeling, storage formats, and compute frameworks.
Design systems with cost efficiency, performance, and data freshness trade-offs in mind.
Technical Leadership
Lead design discussions and review complex system architectures.
Mentor IC3 engineers; raise engineering bar across code quality, testing, and design.
Proactively identify and drive platform-level improvements and simplifications.
Advanced Data Engineering
Develop and optimize high-performance SQL and distributed computations at scale.
Work deeply with Spark, Kafka, Hive, Presto, or equivalent ecosystems.
Solve data consistency, deduplication, and large-scale data quality challenges.
AI-Enabled Engineering (Required)
Use AI tools (Copilot, ChatGPT, Cursor, etc.) for:
Accelerating development, debugging, and refactoring
Generating and optimizing SQL and pipelines
Understanding large codebases and diagnosing production issues
Demonstrate advanced prompting strategies and ability to operationalize AI safely.
Balance speed vs correctness—validate performance, security, and correctness rigorously.
Cross-Team Impact
Partner with Data Science, Platform, and Backend teams to build datasets powering products.
Influence roadmap decisions through technical insights and trade-offs.
Contribute to data platform standards, reusable frameworks, and best practices.
What We’re Looking For :
Experience
6–10 years of experience in data engineering or distributed systems
Core Skills
Strong coding expertise in Python and/or Java
Deep expertise in SQL optimization on large-scale datasets
Hands-on experience with big data technologies (Spark, Kafka, Hive, Presto)
Experience building systems on AWS (S3, EMR, Redshift, EC2)
Advanced Capabilities
Proven ability to design and scale distributed systems independently
Strong understanding of:
Data modeling and schema evolution
Streaming vs batch trade-offs
Data SLAs and cost optimization
Experience handling production-grade failures and large-scale debugging
AI Productivity
Practical, real-world use of AI tools to improve engineering velocity
Ability to use AI strategically, not just tactically
Nice to Have
Experience with NoSQL / MPP systems
Exposure to Docker / Kubernetes
Experience building or supporting AI/LLM-powered systems or data pipelines
One-Line Summary on Skills
Python + SQL + Distributed Systems (Spark/Kafka) + AWS + System Design + AI-enabled Development
Our Benefits:
Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.
We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.
Equal Opportunity Employer:
6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com.
We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com
Source: 6sense careers (Greenhouse)