
Principal Software Engineer, Data Engineering
Job Description
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.
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.
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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