6sense
Sr.SoftwareEngineer-Data
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Software Engineer - Data at 6sense. Skills: Python, SQL, Distributed Systems (Spark/Kafka), AWS, System Design, AI-enabled Development. 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”
What You'll Achieve.
multiply what matters: growth, retention, and efficiency; reach their full potential; defining the future of our industry-leading technology; accelerate engineering velocity; improve system quality; build datasets powering products
Industry & Context.
lead complex problem solving; Solve data consistency, deduplication, and large-scale data quality challenges; diagnosing production issues
What They're Looking For.
Must Have
6–10 years of experience in data engineering or distributed systems, 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), Proven ability to design and scale distributed systems independently, understanding of: Data modeling and schema evolution, understanding of: Streaming vs batch trade-offs, understanding of: Data SLAs and cost optimization, Experience handling production-grade failures and large-scale debugging, 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
What You'll Do.
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
and maintainability of data systems
raise engineering bar across code quality
Proactively identify and drive platform-level improvements and simplifications
Develop and optimize high-performance SQL and distributed computations at scale
Work deeply with Spark
or equivalent ecosystems
Solve data consistency
and large-scale data quality challenges
Use AI tools (Copilot
etc. ) for: Accelerating development
Use AI tools for: Generating and optimizing SQL and pipelines
Use AI tools for: Understanding large codebases and diagnosing production issues
Demonstrate advanced prompting strategies and ability to operationalize AI safely
Balance speed vs correctness—validate performance
and correctness rigorously
Partner with Data Science
and Backend teams to build datasets powering products
Influence roadmap decisions through technical insights and trade-offs
Contribute to data platform standards
How You'll Work.
Team & Collaboration
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; connect with your teams
Full Job Description
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 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 (Copilo
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