Principal Architect

MNTN; United States; Remote; USD 75,000 - 95,000; Full time

Job summary

A leading company in Connected TV advertising is seeking a Mid-Senior Data Architect. The role involves mentoring a team, building identity solutions, and driving technical vision. The position is fully remote within the US, offering competitive compensation and flexible benefits.

Benefits

Flexible vacation policy

Annual vacation allowance for travel expenses

Three-day weekend every month

401k plan

Flexible Spending Account (FSA)

Access to coaching and therapy

Qualifications

• 15+ years of technical experience in data engineering or analysis.
• 5+ years of data science and/or machine learning experience.
• Proven track record of building and scaling high-traffic platforms.

Responsibilities

• Mentor and support a team of data analysts and engineers.
• Build next-gen identity graph leveraging data analytics and machine learning.
• Define and drive the technical vision for identity and attribution solutions.

Skills

SQL

Data Analysis

Problem Solving

Leadership

Communication

Tools

Google Cloud

Amazon Web Services

Spark

NoSQL

PostgreSQL

Job description

At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members, and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television (and also why we were named one of Ad Age’s Best Places To Work in 2024.)

We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social and helps brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/.

We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great.

So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth.

What You’ll Do:

• Mentor and support a team of data analysts, data scientists, backend engineers, and data engineers, creating a culture of ownership, collaboration, and continuous learning
• Build our next-gen identity graph, leveraging data analytics, data science, and machine learning, in addition to our rich suite of data sources.
• Define and drive the technical vision for our identity and attribution solutions, with a focus on scalability, performance, and reliability
• Oversee the design and development of microservices, APIs, and data pipelines that power identity and attribution
• Champion engineering best practices like code reviews, automated testing, and continuous integration/deployment
• Jump in with hands-on technical guidance when needed to unblock the team or provide architectural support
• Take ownership of projects end-to-end, identifying risks and managing dependencies along the way

What You’ll Bring:

• 15+ years of technical experience in data engineering, data analysis, or other related fields
• 5+ years of data science and/or machine learning experience
• Proven track record of building and scaling high-traffic platforms
• Strong understanding of SQL, distributed SQL-based data warehousing, and operational PostgreSQL databases
• Experienced with NoSQL databases, being able to argue for or against them depending on the application, and in particular, recognizing how to leverage graph databases
• Strong understanding of modern data pipelining technologies (e.g., Spark)
• Experience with Google Cloud or Amazon Web Services
• Excellent communication, collaboration, and leadership skills
• Strong problem-solving and analytical skills
• Experience with ad tech platforms, ad tech concepts, and/or identity and attribution is a plus
• 100% remote within the US
• Flexible vacation policy
• Annual vacation allowance for travel related expenses
• Three-day weekend every month of the year
• Competitive compensation
• 401k plan
• Flexible Spending Account (FSA) for dependent, medical, and dental care
• Access to coaching, therapy, and professional development

About MNTN:

Our recruiters will always reach out using an email address ending with @mountain.com OR @mntn.com. If you’re contacted by someone without that address and they mention a Reference Code (which we never use), then that ain’t us folks. Tell those trolls to take a hike–you’re waiting to climb a MNTN.

MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.

Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Build with Ferguson, OneWheel, Tarte, Decked, and National University.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Engineering, and Advertising

• Industries

  Advertising Services and Software Development

Referrals increase your chances of interviewing at MNTN by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Get notified about new Architect jobs in United States.

New York City Metropolitan Area $75,000.00-$95,000.00 22 hours ago

United States $75,000.00-$95,000.00 2 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.