Data Engineering Manager

As the Senior Data Engineering Manager, you will:

Team Leadership & Strategy

• Lead, mentor, and grow a distributed analytics team across multiple time zones.

• Establish priorities, set goals, and manage performance to foster a high-performing analytics organization.

• Develop and implement analytics standards, best practices, and processes to ensure quality and consistency.

Platform & Pipeline Engineering

• Architect, build, and maintain scalable ETL/ELT pipelines, event streams, and ingestion frameworks to support analytics, product features, and ML applications.
• Oversee the design and implementation of cloud-native data infrastructure (data warehouses, lakes, transformation layers, and orchestration).

• Ensure high data quality, consistency, governance, and observability across all data systems.

• Oversee and guide the development of dashboards, automated reports, and analytics tools using BI platforms (e.g., Tableau, Looker, Power BI).

• Ensure robust data pipelines, reliable metrics, and scalable reporting solutions in collaboration with data engineering.

Project Delivery

• Prioritize analytics projects, balance roadmap demands, and ensure timely delivery.

• Champion analytical excellence, including experiment design, KPI definition, and model validation.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Systems, or a related quantitative field.
• 7+ years of professional experience in data engineering, data platform development, or related fields - including managing data teams.
• Deep experience with modern cloud data ecosystems (e.g., Snowflake, BigQuery, AWS/Azure/GCP data services).
• Expertise building and optimizing ETL/ELT pipelines using tools like dbt, Apache Airflow, Spark, or similar orchestration frameworks.
• Strong SQL and programming skills (Python, Scala, or similar languages).

• Experience with data modeling, schema design, and real-time data ingestion strategies.

• Excellent communication skills, with the ability to translate complex analyses to non-technical stakeholders.

• Demonstrated ability to manage multiple priorities in a fast-paced, remote environment.

Preferred Qualifications

• Experience managing internationally distributed teams.

• Familiarity with cloud data platforms (e.g., Snowflake, AWS, GCP) and modern analytics stacks.

• Experience with statistical modeling or data science techniques.

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What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

We are a fast-growing vertical SaaS company leveraging innovation and disruptive technologies to improve consumer experiences, outcomes, and predictability within the plastic surgery industry. Our team thrives on challenges, embraces change, and is dedicated to transforming how the industry operates.

Data is a critical product within our company, and we are investing heavily in our data capabilities. In this role, you will lead one of the most impactful teams in the organization, with significant opportunity for growth and influence. Who We’re Looking For

We are seeking an experienced Senior Data Engineering Manager to lead and scale our data engineering organization. You’ll build and optimize our modern data platform, lead a distributed engineering team, and partner with product, analytics, and business leaders to ensure data is accurate, accessible, and scalable. This role offers full autonomy, leadership opportunities, and direct impact on our data architecture and product capabilities.

In this role, you will strengthen our analytics capabilities, partner closely with business leaders, and ensure the delivery of high-impact, actionable insights that drive decision-making across the organization.

While we are a remote-first company, we are currently only able to hire candidates located in the following U.S. states: CA, CO, FL, GA, IL, MN, OK, OR, PA, RI, TX, UT, and WA. We hope to expand to additional states in the future., BenefitsWhy Adoreal?

Joining Adoreal means becoming part of a high-performing, ambitious team that works hard, achieves extraordinary results, and enjoys the rewards that follow. Every employee receives equity, aligning us all in our shared success. Promotions and growth opportunities are limitless, driven only by your performance and dedication to our core principles:

• We do what is best for the company, not what is best for individuals of the company-we take pride in our work, but not in pride itself-the success of Adoreal is more important than our egos.
• We always share relevant information and admit our mistakes freely and openly (even when it is worrisome or uncomfortable to do so). Candid communication and a solution-oriented mindset is rewarded.
• We innovate by finding the right problems, then solving them. We thrive on change that minimizes complexity and improves situations for our stakeholders.
• We incentivize efficient results & people over process and focus only on the work that creates the most value for our stakeholders.
• We are quietly confident and openly humble, being tenacious in our quest to perform and inspire others with our thirst for excellence.
• We do not bow up and knock down-we care about our teammates and treat all of them with respect, regardless of their level within the company.
• We are steadfast in our pursuit to better our company, our colleagues, and ourselves. When we hire, we only hire people who bleed our principles and who will hopefully be our replacement one day., At Adoreal, we believe in supporting our team’s well-being and growth through comprehensive benefits and a collaborative, people-first culture. As a globally remote company, we prioritize flexibility, inclusivity, and teamwork rooted in the Adoreal principles.