{"schemaVersion":"jobsearcher.job.v1","id":"0e1973f7b6d9249dbe155780","url":"https://jobsearcher.com/jobs/0e1973f7b6d9249dbe155780","canonicalUrl":"https://jobsearcher.com/jobs/0e1973f7b6d9249dbe155780","title":"Director, Data Engineering & Analytics","description":"The Director of Data Engineering & Analytics will be responsible for leading the execution of a strategic plan designed to enable O’Reilly to leverage data as a strategic, governed asset. The Director owns the data engineering, business intelligence, enterprise data warehousing, and analytics for the enterprise and works closely with all business areas to deliver a range of data and analytical solutions. This role will formulate and implement key technology and architecture decisions across the data platform ecosystem, foster and establish a strong engineering discipline, hire, develop, and build a strong engineering organization. The Director will work cross functionally on a day-to-day basis, manage a diverse team, focus on execution and possess strong problem solving and communication skills.\nESSENTIAL JOB FUNCTIONS\nProvide strong leadership, vision and drive the implementation and development of the organization's data platform, data management, and analytics initiatives.\nDemonstrate excellent knowledge of data warehouse principles, analytics, and reporting. Be an expert in data engineering, including building cloud data warehouse platforms (e.g., Snowflake, BigQuery), data marts, data science, and data pipelines.\nBuild and lead high-performing teams. Recruit, develop, and retain top talent in data engineering and analytics globally. Encourage teamwork and knowledge sharing within the team, across departments and countries.\nBuild a culture of engineering best practices, emphasizing data engineering standards, guidelines, and processes, data quality, documentation, data governance, service level objectives, and data contracts.\nEstablish and promote operational excellence through code reviews, documentation, CI/CD pipelines, monitoring, code quality, reusability, and maintainability. Build and maintain a robust data engineering toolchain.\nPrioritize and manage projects, deliver data solutions on time and within budget, balancing competing priorities.\nFoster a data-driven culture, promote data literacy and analytics throughout the organization, encouraging data-informed decision-making.\nCreate a comprehensive business intelligence and analytics strategy aligned with business goals.\nEstablish standardized Business Intelligence Center of Excellence model, development and deployment process. Empower business users with self-service BI capabilities and governance model\nDesign and implement scalable data infrastructure to support international operations. Implement data localization strategies to meet specific country requirements and local data privacy regulations.\nProvide technical guidance and mentorship to the data engineering and analytics team. Resolve complex technical challenges and make informed architectural decisions.\nInfluence and build strong partnerships with business leaders to drive data-driven decision making. Clearly articulate complex technical concepts to both technical and non-technical audiences.\nDevelop change management plans to drive adoption of new data solutions. Provide training and support to empower users to leverage data effectively.\nEstablish data observability practices to ensure data reliability and performance. Define and track key metrics to measure data quality and pipeline health.\nDevelop data storytelling and visualization capabilities to communicate insights effectively.\nImplement data governance framework to manage data access, lineage, and compliance.\nProtect data assets from unauthorized access or disclosure. Implement robust security measures, including encryption, access controls, and network security.\nEnsure compliance with relevant data privacy regulations.\nOptimize data storage, processing and consumption costs while maintaining data accessibility and performance.\nManage budgets and resources, optimize resource allocation to achieve business objectives.\nSupervise and train staff, including organizing, prioritizing, and scheduling work assignments\nAll other duties as assigned.\nSKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES\nRequired:\nBachelor’s Degree in Computer Science, Information Technology, or Engineering\n10+ years of experience in data warehouse, data migration, data engineering and analytics field\n6+ years of successful data engineering, or analytics team management experience, including hiring, team member development, performance management, and delivering results\n5+ years managing a team of data analysts/engineers/scientists\n3+ years managing a team of architect/principal/staff/lead level team members\nDemonstrate a deep understanding of SQL and related databases\nDeep knowledge of designing and building highly scalable data warehouses, data pipelines, data modeling, designing data lakes and big data analytics\nExperience creating and delivering multi-quarter roadmaps. Demonstrated ability to deliver results in a fast-paced environment.\nPrior experience with cloud data warehouse, data streaming platforms and dimensional models\nExperience with data ingestion, transformation, orchestration tools like FiveTran, Dbt, AirFlow\nExperience with data catalog, governance, quality and observability tools like Alation, Collibra\nStrong understanding of data architecture and design principles.\nExperience in driving change/transformation through a larger operations focused organization\nExperience using Python, Java, or Spark for data processing\nExperience working with stakeholders and leaders to define and measure KPIs, service level objectives and other operating metrics\nExperience with data visualization and BI tools like Tableau, Looker, Domo\nCommunication and leadership experience, with experience initiating and driving projects\nProven ability to lead and manage high-performing teams. Strategic thinking and problem-solving abilities.\nStrong collaboration skills in order to partner effectively across various levels of the organization\nProven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business & tech teams\nDesired:\nAdvanced degree in Computer Science, Information Technology, or related field preferred\nDomain experience in retail and experience in the auto parts industry\nProven experience in data stewardship, data governance, or a related role\nAbility to clearly articulate vision, mission, and objectives, and adapt the narrative appropriate to the audience\nExperience with medallion architecture/data tiers\nKnowledge of advanced analytics and machine learning techniques\nHands-on experience with GCP, AWS or Azure cloud platforms\nStrong knowledge of data protection regulations, compliance and data management policies\nStrong understanding of cloud architecture, cloud storage, compute and hybrid (on-prem and cloud) data pipelines\n#LI-RT1\nO’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.\nTotal Compensation Package:\nCompetitive Wages & Paid Time Off\nStock Purchase Plan & 401k with Employer Contributions Starting Day One\nMedical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)\nTeam Member Health/Wellbeing Programs\nTuition Educational Assistance Programs\nOpportunities for Career Growth\nO’Reilly Auto Parts is an equal opportunity employer. Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.\nReasonable Accommodations: Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.","company":"O","rawCompany":"o","city":"Springfield","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:14:06.531Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Director, Data Engineering & Analytics","description":"The Director of Data Engineering & Analytics will be responsible for leading the execution of a strategic plan designed to enable O’Reilly to leverage data as a strategic, governed asset. The Director owns the data engineering, business intelligence, enterprise data warehousing, and analytics for the enterprise and works closely with all business areas to deliver a range of data and analytical solutions. This role will formulate and implement key technology and architecture decisions across the data platform ecosystem, foster and establish a strong engineering discipline, hire, develop, and build a strong engineering organization. The Director will work cross functionally on a day-to-day basis, manage a diverse team, focus on execution and possess strong problem solving and communication skills.\nESSENTIAL JOB FUNCTIONS\nProvide strong leadership, vision and drive the implementation and development of the organization's data platform, data management, and analytics initiatives.\nDemonstrate excellent knowledge of data warehouse principles, analytics, and reporting. Be an expert in data engineering, including building cloud data warehouse platforms (e.g., Snowflake, BigQuery), data marts, data science, and data pipelines.\nBuild and lead high-performing teams. Recruit, develop, and retain top talent in data engineering and analytics globally. Encourage teamwork and knowledge sharing within the team, across departments and countries.\nBuild a culture of engineering best practices, emphasizing data engineering standards, guidelines, and processes, data quality, documentation, data governance, service level objectives, and data contracts.\nEstablish and promote operational excellence through code reviews, documentation, CI/CD pipelines, monitoring, code quality, reusability, and maintainability. Build and maintain a robust data engineering toolchain.\nPrioritize and manage projects, deliver data solutions on time and within budget, balancing competing priorities.\nFoster a data-driven culture, promote data literacy and analytics throughout the organization, encouraging data-informed decision-making.\nCreate a comprehensive business intelligence and analytics strategy aligned with business goals.\nEstablish standardized Business Intelligence Center of Excellence model, development and deployment process. Empower business users with self-service BI capabilities and governance model\nDesign and implement scalable data infrastructure to support international operations. Implement data localization strategies to meet specific country requirements and local data privacy regulations.\nProvide technical guidance and mentorship to the data engineering and analytics team. Resolve complex technical challenges and make informed architectural decisions.\nInfluence and build strong partnerships with business leaders to drive data-driven decision making. Clearly articulate complex technical concepts to both technical and non-technical audiences.\nDevelop change management plans to drive adoption of new data solutions. Provide training and support to empower users to leverage data effectively.\nEstablish data observability practices to ensure data reliability and performance. Define and track key metrics to measure data quality and pipeline health.\nDevelop data storytelling and visualization capabilities to communicate insights effectively.\nImplement data governance framework to manage data access, lineage, and compliance.\nProtect data assets from unauthorized access or disclosure. Implement robust security measures, including encryption, access controls, and network security.\nEnsure compliance with relevant data privacy regulations.\nOptimize data storage, processing and consumption costs while maintaining data accessibility and performance.\nManage budgets and resources, optimize resource allocation to achieve business objectives.\nSupervise and train staff, including organizing, prioritizing, and scheduling work assignments\nAll other duties as assigned.\nSKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES\nRequired:\nBachelor’s Degree in Computer Science, Information Technology, or Engineering\n10+ years of experience in data warehouse, data migration, data engineering and analytics field\n6+ years of successful data engineering, or analytics team management experience, including hiring, team member development, performance management, and delivering results\n5+ years managing a team of data analysts/engineers/scientists\n3+ years managing a team of architect/principal/staff/lead level team members\nDemonstrate a deep understanding of SQL and related databases\nDeep knowledge of designing and building highly scalable data warehouses, data pipelines, data modeling, designing data lakes and big data analytics\nExperience creating and delivering multi-quarter roadmaps. Demonstrated ability to deliver results in a fast-paced environment.\nPrior experience with cloud data warehouse, data streaming platforms and dimensional models\nExperience with data ingestion, transformation, orchestration tools like FiveTran, Dbt, AirFlow\nExperience with data catalog, governance, quality and observability tools like Alation, Collibra\nStrong understanding of data architecture and design principles.\nExperience in driving change/transformation through a larger operations focused organization\nExperience using Python, Java, or Spark for data processing\nExperience working with stakeholders and leaders to define and measure KPIs, service level objectives and other operating metrics\nExperience with data visualization and BI tools like Tableau, Looker, Domo\nCommunication and leadership experience, with experience initiating and driving projects\nProven ability to lead and manage high-performing teams. Strategic thinking and problem-solving abilities.\nStrong collaboration skills in order to partner effectively across various levels of the organization\nProven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business & tech teams\nDesired:\nAdvanced degree in Computer Science, Information Technology, or related field preferred\nDomain experience in retail and experience in the auto parts industry\nProven experience in data stewardship, data governance, or a related role\nAbility to clearly articulate vision, mission, and objectives, and adapt the narrative appropriate to the audience\nExperience with medallion architecture/data tiers\nKnowledge of advanced analytics and machine learning techniques\nHands-on experience with GCP, AWS or Azure cloud platforms\nStrong knowledge of data protection regulations, compliance and data management policies\nStrong understanding of cloud architecture, cloud storage, compute and hybrid (on-prem and cloud) data pipelines\n#LI-RT1\nO’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.\nTotal Compensation Package:\nCompetitive Wages & Paid Time Off\nStock Purchase Plan & 401k with Employer Contributions Starting Day One\nMedical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)\nTeam Member Health/Wellbeing Programs\nTuition Educational Assistance Programs\nOpportunities for Career Growth\nO’Reilly Auto Parts is an equal opportunity employer. Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.\nReasonable Accommodations: Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.","datePosted":"2026-04-12T21:14:06.531Z","dateModified":"2026-04-12T21:14:06.531Z","hiringOrganization":{"@type":"Organization","name":"O","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0e1973f7b6d9249dbe155780"},"url":"https://jobsearcher.com/jobs/0e1973f7b6d9249dbe155780"}}