Working at Thoropass

Thoropass makes it as easy to do the right thing as it is to check a box. Our team members believe that partnership lightens the load. Not everyone can be an expert at everything – lending each other support in areas of weakness strengthens everyone’s offering. We collaborate openly and enthusiastically; without ego. Thoropass makes it as easy to do the right thing as it is to check a box.

What We Do

At Thoropass, we’re compliance experts, so you don’t have to be. Pairing easy software that’s always getting smarter with expert guidance and continuous monitoring, we integrate into your process to prepare you to pass any audit every year with flying colors. Hundreds of growing companies use Thoropass’s compliance automation platform, expert services, auditors, and partner ecosystem to get and stay compliant over the lifetime of their business. We offer SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS, and other InfoSec and privacy frameworks.

We are a rapidly expanding team based in New York. We were founded in May 2019 and raised our Series C funding in November 2022. Our top investors include J.P. Morgan, PayPal Ventures, Fin Capital, Centana, and Bain Capital. We're growing customers and revenue dramatically and we’re poised for continued break-out growth in 2023 and beyond.

About the Role

We are looking for our first Senior Data Engineer to build out our data engineering function. This function will provide Thoropass with accurate and up-to-date data models which form the basis for our operational and strategic decisions. The ideal candidate will be equal parts data engineer, strategic thinker, and operational doer with a passion for solving complex challenges and delivering measurable impact for our company and customers.

What You'll Do

Build Data Engineering Function

• Build a centralized data engineering function that partners with engineering teams to design, create, and maintain data models that capture key business metrics. 

• Partner with Engineering to write SQL in dbt for staging, intermediate, and BI-ready (marts) data models.

• Improve data collection and reporting processes to automate manual workflows and ensure data quality.

Make Data Available to Practitioners

• Drive best-in-class data processes and standards that ensure data is accurate, up-to-date, reliable, and easily accessible to all parts of the organization.
• Partner with the Engineering Infrastructure team to understand, evolve, and maintain our data stack (warehouse, ETL, BI tool, etc.).

Expand Data Culture

• Collaborate with cross-functional stakeholders to understand data needs, identify opportunities for data-informed decision-making, and develop solutions to capitalize on these.
• Partner with data analysts to create analysis, dashboards, and visualizations that uncover valuable insights and drive informed recommendations.

About You

• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and make good choices about trade-offs.
• You are results-oriented, proactive and curious; hence you understand the product and business implications of your analysis, and you are constantly looking for insight within the data, which you proactively communicate to the relevant stakeholders.
• You have a point-of-view on the modern data stack and how to implement a stage-appropriate stack at a scaling start-up.
• You’re comfortable with both working in the trenches writing SQL and taking a big-picture view while advising senior leadership on data insights.
• Hungry, humble, scrappy, and will thrive in fast-paced environments and manage multiple priorities simultaneously.
• You get a kick out of digging deep into the data, thinking from first principles, and delivering results that move the needle.
• You have a process-oriented mindset and enjoy doing whatever it takes to execute complex projects.
• You want to promote and evangelize a data-driven mentality at the company and are ready to teach those who want to learn.

Qualifications

• 5+ years experience in a data engineering role
• Solid experience with data architecture, data warehousing, and ETL pipelines
• Deep technical expertise in designing data models in dbt (or other data transformation tools) and implementing them as high-quality core data assets leveraged across the company.
• Experience with data orchestration technologies using DAG frameworks (e.g., Apache Airflow, etc.)
• Experience with at least one BI platform (Tableau, Looker, Mode, etc.)
• Proficient in writing legible, well-documented, and performant SQL (your code doesn’t just work, it’s optimized for its use case).
• Exceptional verbal & written communication. You’re able to convey complex, technical topics to an array of stakeholders in a digestible and compelling manner. 
• Strong project management skills with experience working with cross-functional teams and influencing stakeholders at all levels of the organization.

Nice to Haves

• Knowledge of AWS ecosystem / CLI
• Familiarity with Python or other modern programming languages
• Familiarity with various business systems (e.g., Salesforce, Hubspot, Heap, Segment, Google Analytics, etc.).

Compensation:

• Competitive base salary
• Exceptional private healthcare
• Early equity in a fast-growing company
• Hybrid work-from-home model
• Unlimited PTO
• Home office equipment
• Monthly wellness and home Wi-Fi stipend