{"schemaVersion":"jobsearcher.job.v1","id":"57e45bf8c3d77d83534e2589","url":"https://jobsearcher.com/jobs/57e45bf8c3d77d83534e2589","canonicalUrl":"https://jobsearcher.com/jobs/57e45bf8c3d77d83534e2589","title":"Senior Data Engineer Manager","description":"Who We Are\n\nWe 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.\n\nData 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.\n\n Who We're Looking For\n\nWe 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.\n\nIn 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.\n\nWhile 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.\n\nResponsibilities\n\nAs the Senior Data Engineering Manager, you will:\n\nTeam Leadership & Strategy\n\nLead, mentor, and grow a distributed analytics team across multiple time zones.\nEstablish priorities, set goals, and manage performance to foster a high-performing analytics organization.\nDevelop and implement analytics standards, best practices, and processes to ensure quality and consistency.\n\nPlatform & Pipeline Engineering\n\nArchitect, build, and maintain scalable ETL/ELT pipelines, event streams, and ingestion frameworks to support analytics, product features, and ML applications.\nOversee the design and implementation of cloud-native data infrastructure (data warehouses, lakes, transformation layers, and orchestration).\nEnsure high data quality, consistency, governance, and observability across all data systems.\nOversee and guide the development of dashboards, automated reports, and analytics tools using BI platforms (e.g., Tableau, Looker, Power BI, Fivetran, or Redshift).\nEnsure robust data pipelines, reliable metrics, and scalable reporting solutions in collaboration with data engineering.\n\nProject Delivery\n\nPrioritize analytics projects, balance roadmap demands, and ensure timely delivery.\nChampion analytical excellence, including experiment design, KPI definition, and model validation.\n\nRequirements\n\nBachelor’s or Master’s degree in Computer Science, Engineering, Data Systems, or a related quantitative field.\n7+ years of professional experience in data engineering, data platform development, or related fields — including managing data teams.\nDeep experience with modern cloud data ecosystems (e.g., Snowflake, BigQuery, AWS/Azure/GCP data services).\nExpertise building and optimizing ETL/ELT pipelines using tools like dbt, Apache Airflow, Spark, or similar orchestration frameworks.\nStrong SQL and programming skills (Python, Scala, or similar languages).\nExperience with data modeling, schema design, and real-time data ingestion strategies.\nExcellent communication skills, with the ability to translate complex analyses to non-technical stakeholders.\nDemonstrated ability to manage multiple priorities in a fast-paced, remote environment.\n\nPreferred Qualifications\n\nExperience managing internationally distributed teams.\nFamiliarity with cloud data platforms (e.g., Snowflake, AWS, GCP) and modern analytics stacks.\nExperience with statistical modeling or data science techniques.\n\nBenefits\n\nWhy Adoreal?\n\nJoining 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:\n\nWe 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.\nWe 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.\nWe innovate by finding the right problems, then solving them. We thrive on change that minimizes complexity and improves situations for our stakeholders.\nWe incentivize efficient results & people over process and focus only on the work that creates the most value for our stakeholders.\nWe are quietly confident and openly humble, being tenacious in our quest to perform and inspire others with our thirst for excellence.\nWe 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.\nWe 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.\nWhat We Offer\n\nAt 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.\n\nBenefits & Perks:\n\nHealthcare coverage for you and your family\nPaid time off (PTO) and paid holidays\nPerformance-based bonuses and company equity opportunities\nFully remote work environment with flexible schedules\nCollaborative and thriving team culture guided by Adoreal’s core values\n\nAt this time, Adoreal is not offering visa sponsorship for this position. Candidates must have current and valid authorization to work in the country where they are applying. We comply with all applicable employment and immigration laws, including U.S. regulations, and encourage applicants to verify their work authorization status before applying.\n\nAdoreal is an equal opportunity employer committed to fostering a diverse, inclusive, and fair workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic under applicable U.S. law (EEOC) or local employment regulations where we operate. We encourage applications from candidates of all backgrounds.\nAccommodations for disabilities are available upon request throughout the recruitment process.\n\n*We are not working with search firms for this role, thank you*\n\n Recruitment Fraud Notice\n\nAdoreal has become aware of fraudulent job offers being sent by people falsely claiming to represent us. To protect yourself:\n\nVerify the sender's email address matches our official domain before responding.\nBe cautious of offers that come with no prior application or interview process.\nNever share personal details, banking information, or Social Security numbers as part of a job offer or interview.\nLegitimate offers will never ask you to pay money upfront for equipment, training, or onboarding.\nIf something feels off — urgency, poor grammar, unusual payment requests — trust your instincts and pause before responding.\n\nIf you receive a suspicious email or offer claiming to be from Adoreal, please don't respond to it directly. Report it as spam through your email provider and reach out to us at with any concerns.","company":"Adoreal","rawCompany":"adoreal","city":"Hernando","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-08-19T18:07:53.420Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer Manager","description":"Who We Are\n\nWe 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.\n\nData 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.\n\n Who We're Looking For\n\nWe 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.\n\nIn 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.\n\nWhile 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.\n\nResponsibilities\n\nAs the Senior Data Engineering Manager, you will:\n\nTeam Leadership & Strategy\n\nLead, mentor, and grow a distributed analytics team across multiple time zones.\nEstablish priorities, set goals, and manage performance to foster a high-performing analytics organization.\nDevelop and implement analytics standards, best practices, and processes to ensure quality and consistency.\n\nPlatform & Pipeline Engineering\n\nArchitect, build, and maintain scalable ETL/ELT pipelines, event streams, and ingestion frameworks to support analytics, product features, and ML applications.\nOversee the design and implementation of cloud-native data infrastructure (data warehouses, lakes, transformation layers, and orchestration).\nEnsure high data quality, consistency, governance, and observability across all data systems.\nOversee and guide the development of dashboards, automated reports, and analytics tools using BI platforms (e.g., Tableau, Looker, Power BI, Fivetran, or Redshift).\nEnsure robust data pipelines, reliable metrics, and scalable reporting solutions in collaboration with data engineering.\n\nProject Delivery\n\nPrioritize analytics projects, balance roadmap demands, and ensure timely delivery.\nChampion analytical excellence, including experiment design, KPI definition, and model validation.\n\nRequirements\n\nBachelor’s or Master’s degree in Computer Science, Engineering, Data Systems, or a related quantitative field.\n7+ years of professional experience in data engineering, data platform development, or related fields — including managing data teams.\nDeep experience with modern cloud data ecosystems (e.g., Snowflake, BigQuery, AWS/Azure/GCP data services).\nExpertise building and optimizing ETL/ELT pipelines using tools like dbt, Apache Airflow, Spark, or similar orchestration frameworks.\nStrong SQL and programming skills (Python, Scala, or similar languages).\nExperience with data modeling, schema design, and real-time data ingestion strategies.\nExcellent communication skills, with the ability to translate complex analyses to non-technical stakeholders.\nDemonstrated ability to manage multiple priorities in a fast-paced, remote environment.\n\nPreferred Qualifications\n\nExperience managing internationally distributed teams.\nFamiliarity with cloud data platforms (e.g., Snowflake, AWS, GCP) and modern analytics stacks.\nExperience with statistical modeling or data science techniques.\n\nBenefits\n\nWhy Adoreal?\n\nJoining 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:\n\nWe 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.\nWe 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.\nWe innovate by finding the right problems, then solving them. We thrive on change that minimizes complexity and improves situations for our stakeholders.\nWe incentivize efficient results & people over process and focus only on the work that creates the most value for our stakeholders.\nWe are quietly confident and openly humble, being tenacious in our quest to perform and inspire others with our thirst for excellence.\nWe 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.\nWe 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.\nWhat We Offer\n\nAt 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.\n\nBenefits & Perks:\n\nHealthcare coverage for you and your family\nPaid time off (PTO) and paid holidays\nPerformance-based bonuses and company equity opportunities\nFully remote work environment with flexible schedules\nCollaborative and thriving team culture guided by Adoreal’s core values\n\nAt this time, Adoreal is not offering visa sponsorship for this position. Candidates must have current and valid authorization to work in the country where they are applying. We comply with all applicable employment and immigration laws, including U.S. regulations, and encourage applicants to verify their work authorization status before applying.\n\nAdoreal is an equal opportunity employer committed to fostering a diverse, inclusive, and fair workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic under applicable U.S. law (EEOC) or local employment regulations where we operate. We encourage applications from candidates of all backgrounds.\nAccommodations for disabilities are available upon request throughout the recruitment process.\n\n*We are not working with search firms for this role, thank you*\n\n Recruitment Fraud Notice\n\nAdoreal has become aware of fraudulent job offers being sent by people falsely claiming to represent us. To protect yourself:\n\nVerify the sender's email address matches our official domain before responding.\nBe cautious of offers that come with no prior application or interview process.\nNever share personal details, banking information, or Social Security numbers as part of a job offer or interview.\nLegitimate offers will never ask you to pay money upfront for equipment, training, or onboarding.\nIf something feels off — urgency, poor grammar, unusual payment requests — trust your instincts and pause before responding.\n\nIf you receive a suspicious email or offer claiming to be from Adoreal, please don't respond to it directly. Report it as spam through your email provider and reach out to us at with any concerns.","datePosted":"2026-08-19T18:07:53.420Z","dateModified":"2026-08-19T18:07:53.420Z","hiringOrganization":{"@type":"Organization","name":"Adoreal","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hernando","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"57e45bf8c3d77d83534e2589"},"url":"https://jobsearcher.com/jobs/57e45bf8c3d77d83534e2589"}}