Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Reads like a Data Leadership role: running a data team.
Park City, Utah, United States
Actively hiring, first seen by us 2 days agoLOCATION This is a hybrid role based out of our Park City headquarters. EQUAL EMPLOYMENT OPPORTUNITYRead the full posting
The Director of Technology & Data Engineering owns Momentous’ enterprise technology, IT operations, data infrastructure, and systems strategy, building the scalable, secure, and reliable foundation needed to support continued growth and AI-driven innovation.
Reporting to the CFO, this role serves as the company’s technology leader, overseeing company-wide IT, cloud data infrastructure, enterprise systems, data integrations, governance, and emerging AI capabilities.
Own and build the cloud data platform, preferably on Google Cloud and BigQuery
Build and maintain a governed semantic layer with automated metric tests
Own enterprise security, data privacy, and IT risk management
The Director of Technology & Data Engineering owns Momentous’ enterprise technology, IT operations, data infrastructure, and systems strategy, building the scalable, secure, and reliable foundation needed to support continued growth and AI-driven innovation.
Reporting to the CFO, this role serves as the company’s technology leader, overseeing company-wide IT, cloud data infrastructure, enterprise systems, data integrations, governance, and emerging AI capabilities. A key focus is creating a unified, trusted data ecosystem that connects Momentous’ eCommerce, subscription, Amazon, retail, financial, and operational platforms while enabling accurate, consistent information across the business. This role partners closely with the Data Analytics Center of Excellence in Finance: Analytics defines the metrics, and Technology builds and runs the platform that delivers them to people and AI tools.
Own the architecture, development, and operation of Momentous’ cloud data platform, preferably leveraging Google Cloud Platform (GCP) and BigQuery.
Build and maintain a governed data foundation and semantic layer using dbt, MetricFlow, or equivalent technologies.
Own enterprise technology security, data privacy, and IT risk management across systems and infrastructure.
has personally designed and operated modern data platforms
thrives as a senior technical leader in a lean, high-growth environment
From the employer’s posting.
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 2
Early. Similar jobs usually come down between day 7 and day 53.
From 7,797 similar postings that came down. Coming down is not always a hire.
2 open jobs
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Skills & Competencies - Deep technical expertise in cloud architecture and data engineering; fluent in SQL and Python, with experience in pipeline orchestration and infrastructure-as-code. - Strong working knowledge of GCP, BigQuery, data pipelines, identity and access management, environment separation, and cloud cost optimization.
Cloud Data Infrastructure & Engineering - Own the architecture, development, and operation of Momentous’ cloud data platform, preferably leveraging Google Cloud Platform (GCP) and BigQuery. - Design, build, and maintain scalable data ingestion, transformation, and integration pipelines across business systems.
- 8+ years of experience in data engineering, cloud infrastructure, enterprise technology, or related technical disciplines, including meaningful hands-on engineering experience. - Demonstrated experience designing, building, and operating modern cloud data platforms, preferably within GCP and BigQuery. - Experience owning enterprise IT systems and managing external technology vendors, implementation partners, and SLAs.
- Deep technical expertise in cloud architecture and data engineering; fluent in SQL and Python, with experience in pipeline orchestration and infrastructure-as-code. - Strong working knowledge of GCP, BigQuery, data pipelines, identity and access management, environment separation, and cloud cost optimization. - Experience with data transformation and semantic layer technologies such as dbt, MetricFlow, or equivalent solutions.
Semantic Layer & Analytics Enablement - Build and maintain a governed data foundation and semantic layer using dbt, MetricFlow, or equivalent technologies. - Implement and enforce metric definitions set by Finance and the Data Analytics Center of Excellence across revenue, channel, product, customer, and subscription data, with automated tests so numbers can't drift.
- Strong working knowledge of GCP, BigQuery, data pipelines, identity and access management, environment separation, and cloud cost optimization. - Experience with data transformation and semantic layer technologies such as dbt, MetricFlow, or equivalent solutions. - Understanding of Shopify, Recharge, ERP platforms such as Fulfil, and omnichannel commerce integrations.
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COMPANY OVERVIEW
Momentous is a dynamic, fast-growing human performance company offering the highest quality supplements designed to enhance physical and cognitive well-being. At Momentous, we believe that people at their best will produce a positive impact in their personal lives, communities, and, ultimately, the world. No matter our customer's goal or what they want to achieve, we are on a relentless quest to help them get there. We work with some of the greatest minds in science and athletic performance who tap into the latest research and real-world experience to create a portfolio of products designed with one common goal—to help our customers be their best.
What we’re proud of:
POSITION SUMMARY
The Director of Technology & Data Engineering owns Momentous’ enterprise technology, IT operations, data infrastructure, and systems strategy, building the scalable, secure, and reliable foundation needed to support continued growth and AI-driven innovation.
Reporting to the CFO, this role serves as the company’s technology leader, overseeing company-wide IT, cloud data infrastructure, enterprise systems, data integrations, governance, and emerging AI capabilities. A key focus is creating a unified, trusted data ecosystem that connects Momentous’ eCommerce, subscription, Amazon, retail, financial, and operational platforms while enabling accurate, consistent information across the business. This role partners closely with the Data Analytics Center of Excellence in Finance: Analytics defines the metrics, and Technology builds and runs the platform that delivers them to people and AI tools.
This is a highly hands-on, cross-functional player-coach role that combines deep technical expertise with strategic leadership. The ideal candidate is an entrepreneurial builder who has personally designed and operated modern data platforms, can make pragmatic technology investment decisions, and thrives as a senior technical leader in a lean, high-growth environment.
RESPONSIBILITIES
QUALIFICATIONS
BENEFITS
LOCATION
This is a hybrid role based out of our Park City headquarters.
EQUAL EMPLOYMENT OPPORTUNITY
Momentous provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We are committed to bringing together individuals from different backgrounds and perspectives and providing employees with a safe and welcoming work environment where everyone can thrive. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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Park City, Utah, United States
LOCATION This is a hybrid role based out of our Park City headquarters. EQUAL EMPLOYMENT OPPORTUNITY
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