Principal Data Architect, Analytics

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 Principal Data Architect, you will play a pivotal role in shaping the future of our data infrastructure. You will be responsible for understanding complex business models and use cases for analytics, and leveraging this knowledge to design and build a unified data model. This model will include a comprehensive data lake to support various use cases such as search, machine learning, and artificial intelligence, as well as a highly optimized data warehouse for customer facing analytics within the Highspot product. 

• Collaborate with business stakeholders to understand their needs and translate them into technical requirements for data architecture.
• Design and implement scalable data models that cater to a diverse set of use cases across highspot, including Analytics, Search, ML, and AI.
• Develop and maintain a robust data lake architecture that integrates data from multiple sources, ensuring data quality and consistency.
• Optimize data warehouse performance to support fast, reliable analytics and reporting.
• Ensure data security, governance, and compliance across all data platforms.
• Provide technical leadership and mentorship to a team of data engineers and developers.
• Stay current with industry trends and emerging technologies to continuously improve our data architecture.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 10+ years of experience in data architecture, data analyst, or a related field.
• Proven experience with data lake and data warehouse design and implementation.
• Strong understanding of data modeling, ETL processes, and data governance.
• Proficiency in SQL, Python, and modern data platforms (e.g., AWS, Azure, Google Cloud).
• Experience with big data technologies (e.g., Hadoop, Spark) and machine learning frameworks.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Base salary range: $167,826 - $252,174 Employees are eligible to receive stock options and may also receive 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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