Principal Software Engineer, Data Engineering

About Highspot Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world. About the Role We are looking for a Principal Data Engineer to join our growing Data Platform team. This is a rare opportunity to define the technical vision for high-scale data products that power customer-facing analytics, intelligent AI agents, and core product capabilities. Highspot's data engineering challenges are uniquely interesting: our platform generates rich, deeply nested document-oriented data from millions of enterprise interactions – content engagement, CRM activity, sales workflows – and our job is to make all of it available, trustworthy, and fast for radically different consumption patterns. Customer-facing analytics dashboards need pre-aggregated, low-latency reads. Scorecards and reports need flexible dimensional models. AI agents need fresh, contextually assembled data with retrieval characteristics that look nothing like traditional BI. You'll own the architecture that serves all three from a unified foundation. As a Principal Data Engineer, you will shape our overarching data architecture direction and fundamentally influence our data strategy. Your impact will extend well beyond your immediate crew – acting as a vital bridge that coordinates directly with upstream software engineering teams (data producers) as well as downstream engineering and AI teams (data consumers) across multiple organizational pillars. You will lead the technical execution of a high-performing engineering crew, balancing deep architectural pipeline design with advanced data modeling, query optimization, and data trust. What You'll Do Your Background

• Demonstrated depth in building production data platforms that serve multiple consumption patterns – you've gone beyond traditional BI to support real-time product features, AI/ML workloads, or customer-facing analytics from the same data foundation.

• Deep experience with the impedance mismatch between document-oriented operational stores and analytical systems – you've dealt with nested, schema-evolving source data (MongoDB, DynamoDB, or similar) and have opinions on where flattening and transformation should live.

• Hands-on experience with data quality and trust at scale – you've built or operated schema registries, data contracts, quality monitoring, or lineage systems in an environment where multiple teams depend on shared data products.

• Track record of cost-conscious data architecture – you've optimized Snowflake (or comparable) warehouse spend, designed compute governance policies, or re-architected pipelines to materially reduce cost without sacrificing reliability.

• Strong instinct for the bridge role: you're as comfortable pushing back on an upstream team's schema change as you are negotiating freshness SLAs with a downstream AI consumer.

Foundations:

• 8+ years of professional software engineering experience, with significant time spent on distributed, data-intensive production systems –  including substantial depth in data pipeline and platform architecture.

• Deep hands-on expertise with modern data technologies: Snowflake, Apache Kafka, Apache Flink, and CDC tooling (Debezium or similar).

• Experience developing and operating cloud data infrastructure at enterprise scale (AWS preferred), including infrastructure-as-code (Terraform) and CI/CD automation.

• Strong programming skills in Python, Java, and SQL. You write production-grade code, not just scripts.

• A track record of designing performant data models that support fast, efficient querying for analytical and product-facing use cases.

• Strong cross-functional communication skills - you work effectively with software engineers, data scientists, AI teams, and business stakeholders across organizational boundaries.

• Experience mentoring engineers and building collaborative, high-performing teams.

Base salary range: $188,696 - $258,391
Employees may also be eligible for bonuses and other forms of compensation.
The above represents total expected compensation for this role. Actual compensation will depend on various job-related factors, including, but not limited to, location, experience, and job qualifications.

Highspot also offers the following employee benefits for this position:
-Comprehensive medical, dental, vision, disability, and life benefits
-Health Savings Account (HSA) with employer contribution
-401(k) Matching with immediate vesting on employer match
-Flexible PTO
-8 paid holidays and 5 paid days for Annual Holiday Week
-Quarterly Recharge Fridays (paid days off for mental health recharge)
-18 weeks paid parental leave
-Access to Coaches and Therapists through Modern Health
-2 volunteer days per year
-Commuting benefits

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