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Sr. Principal Software Engineer, Analytics Platform

Highspot

Highspot

Software Engineering, Data Science
Seattle, WA, USA
Posted on Thursday, May 23, 2024
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
As a Senior Principal Engineer, you will be the technical leader responsible for transforming our analytics platform into a state-of-the-art, scalable, performant, and secure system. You will drive the architecture and development of data processing, data pipelines, and dimensional data models. Your vision will help redefine our analytics platform, making it easier for our customers to gain insights and make data-driven decisions - faster. This role requires deep expertise in scalable distributed systems, a strong background in big data technologies, and a passion for delivering exceptional user experiences.

Key Responsibilities

  • Lead the design and development of a scalable, and secure analytics platform.
  • Architect and implement robust data pipelines and big data processing solutions.
  • Develop and optimize dimensional data models to support advanced analytics.
  • Collaborate with product teams to ensure we meet our user experience goals, ensuring ease of use and delivering performant state-of-the-art analytics to customers.
  • Drive the adoption of best practices in software engineering, data security, and performance optimization.
  • Mentor and guide a team of engineers, fostering a culture of innovation and excellence.
  • Stay up-to-date with emerging technologies and industry trends to continually enhance our analytics capabilities.

Qualifications

  • 15+ years of experience in building scalable distributed systems and data platforms.
  • Expertise in big data processing technologies (e.g., Hadoop, Spark, Kafka, Flink).
  • Strong background in designing and implementing data pipelines and ETL processes.
  • Experience with dimensional data modeling and database design.
  • Deep understanding of data security best practices.
  • Demonstrated ability to lead complex engineering projects from concept to completion.
  • Excellent problem-solving skills and a strategic mindset.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.
  • Passion for creating exceptional user experiences through innovative design.

Preferred Qualifications

  • Advanced degree in Computer Science, Engineering, or a related field.
  • Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).
  • Familiarity with modern front-end technologies and frameworks.
  • Prior experience in a leadership role within a high-growth technology company.
Base salary range: $222,609 - $333,913. Employees may also be eligible for bonuses, stock options, 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
-Professional development opportunities through LinkedIn Learning
-Access to Coaches and Therapists through Modern Health
-2 volunteer days per year
-Commuting benefits
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Equal Opportunity Statement
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation.
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