Staff Software Engineer - (Core Data)

Confirmed live in the last 24 hours

6sense

Bengaluru, Karnataka, India

On-site

Posted April 6, 2026

Job Description

Our Mission:

Our 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 Core Data Engineering Team :

The Core Data Engineering team builds and owns the foundational data assets that power nearly every 6sense product and GTM workflow. This includes company and people data, identity graphs, enrichment pipelines, and large scale signal ingestion systems.

Our work sits at the intersection of distributed systems, data correctness, and business impact.

We’re looking for a Staff Data Engineer to lead the design and evolution of our most critical data platforms.

This is a senior individual contributor role for engineers who enjoy owning complex systems end‑to‑end, influencing technical direction across teams, and solving problems where correctness, scale, and reliability really matter.

You’ll work on problems that don’t have obvious answers and your decisions will shape how data flows through 6sense for years to come.

What You’ll Do :

Lead Large‑Scale Data Systems :

Design, build, and evolve high‑throughput batch and streaming data pipelines that process billions of records.
Own core datasets that power product features, analytics, and ML systems.
Build systems that handle enrichment, deduplication, identity resolution, and confidence scoring at scale.

Drive Architecture & Technical Direction :

Define long‑term architecture for foundational data platforms.
Lead complex, multi‑quarter initiatives such as platform migrations, major refactors, and new data foundations.
Balance data correctness, freshness, cost, and performance in real‑world production systems.

Ensure Reliability & Data Quality :

Own SLAs/SLOs for data freshness, accuracy, and completeness.
Design data quality frameworks, reconciliation mechanisms, and observability for critical pipelines.
Lead root‑cause analysis and long term fixes for production issues.

Collaborate Across the Company :

Partner with Product, Analytics, Data Science, Platform, and GTM teams to translate business needs into scalable data solutions.
Act as a technical point of contact for third party data integrations and vendors.

Raise the Engineering Bar :

Mentor senior engineers and influence technical standards across the org.
Lead by example in design reviews, operational ownership, and incident response.
Help shape engineering best practices around scalability, reliability, and maintainability.

What We’re Looking For :

Experience :

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