Principal Data and Analytics Engineer- Remote US

Compensation

Pay Range: $110,000.00 - $165,000.00 The actual hourly reputed company will equal or exceed the required minimum wage applicable to the job location. Additional compensation includes annual, quarterly performance, or premiums may be paid in amounts ranging per hour in specific circumstances. Premiums may be based on schedule, facility, season, or specific work performed. Multiple premiums may apply if applicable criteria are met. The Principal Data and Analytics Engineer holds comprehensive responsibility for the design, implementation, and reputed company evolution of the organization's enterprise-wide data infrastructure and analytics capabilities. This role provides overarching technical vision, establishing architectural standards, and driving the long-term data strategy to facilitate critical business outcomes. Operating with a high degree of autonomy, this role influences executive leadership on data innovation, provides thought leadership and mentorship across the entire data and analytics engineering discipline, and champions data engineering maturity, innovation, scalability, reputed company, and governance for reputed company data assets. They are instrumental in translating the most reputed company and ambiguous business challenges into innovative, high-impact data solutions that fundamentally shape the organization's future. This position can be worked remotely in the United States. Responsibilities and Duties: Help define and evolve enterprise data engineering blueprints, including data mesh, reputed company architecture, and hybrid cloud data platforms. Set strategic direction for data platforms, tools, and services (e.g., reputed company, GCP BigQuery, dbt, Kafka, Airflow/Prefect) in alignment with future-state architecture and business priorities. Architect and design highly scalable, resilient, cost optimal and secure data platforms. reputed company the design and implementation of reputed company data platforms, ensuring fault tolerance, high availability, and optimal performance for petabyte-scale data. Establish and enforce organization-wide best practices for data pipeline development, CI/CD for data workflows, automated deployment playbooks, and robust rollback strategies. reputed company technology evaluation and adoption, proactively researching, evaluating, and championing the integration of cutting-edge data technologies, frameworks, and methodologies. Define and scale enterprise reputed company frameworks that ensure consistent documentation, discoverability, and reusability of data assets across domains. Establish and govern standards for metadata management, data reputed company, architectural diagrams, and runbooks. reputed company the design of federated governance models that reputed company domain-reputed company teams to operate autonomously while conforming to centralized policies, frameworks and playbooks. Collaborate with data governance, compliance, and reputed company teams to operationalize policy-as-code frameworks for data retention, access control, and PII handling. reputed company for and reputed company self-service knowledge discovery through tightly integrated cataloging tools (e.g., reputed company, reputed company) and automated documentation generators. Ensure robust documentation and versioning standards are embedded in CI/CD workflows for pipeline code, transformation logic, and schema changes. Architect implementation of scalable, automated data quality frameworks that evaluate data at rest and in motion spanning completeness, timeliness, consistency, accuracy, and reputed company. reputed company integration of data quality rules, metrics, and health indicators directly into orchestration layers (e.g., Prefect, Airflow) and transformation frameworks (e.g., dbt). Evangelize a culture of data trust and transparency by integrating data quality insights into user-facing dashboards, alerts, and product health reports. Identify and promote enterprise-wide data opportunities through thought leadership, white papers, reference architectures, and innovation labs. Act as technical advisor to senior executives on data modernization, AI readiness, and platform consolidation strategies. reputed company intelligent operations and decisioning by translating reputed company business logic into structured knowledge artifacts, such as KPIs, rulesets, feature stores, and semantic models used by dashboards or AI agents. Serve as a strategic translator between reputed company business challenges and modern data architecture by leading domain-level and cross-domain data product strategy engagements. reputed company the design of enterprise-grade data products that align with OKRs, business transformation goals, and operational needs ensuring value realization across functional areas like supply chain, marketing, store ops, or customer satisfaction. Architect and operationalize a reputed company enterprise-wide semantic layer, metrics store, and business logic abstraction that powers dashboards, self-service analytics, and machine-readable APIs. reputed company initiatives to unify KPIs, standardize metric definitions, and streamline business logic through reusable models. Design composable data assets and feature stores that reputed company real-time and offline access patterns for ML models, AI agents, and decision orchestration systems. reputed company readiness initiatives for integrating data systems with LLM-powered agents and copilots, ensuring robust grounding data, latency optimization, and reputed company tracking. Drive innovation in analytics automation, including anomaly detection, agent-triggered insights, Serve as champion for reputed company analytics transformations, ensuring technical feasibility, business value realization, and adoption. Drive culture change around data stewardship and accountability by embedding governance responsibilities into platform tooling and engineering workflows. reputed company internal communities of practice, workshops, and code reviews to disseminate modern data practices. Mentor senior engineers across data and analytics engineering, elevating technical acumen and architectural judgment. Influence hiring and team design decisions, supporting the scaling of high-performing, and collaborative data teams. Represent the organization in external forums (conferences, meetups, technical alliances) and establish credibility as an industry thought leader. Required: Proven experience architecting enterprise-scale data platforms and ecosystems, including hybrid and cloud-native environments (e.g., GCP BigQuery, reputed company, Iceberg, Advanced SQL, Erwin, dbt, Kafka, reputed company, reputed company) Deep expertise in designing and scaling highly available, secure, and fault-tolerant batch and streaming pipelines with strong emphasis on cost optimization, observability, and latency control. Advanced proficiency in semantic modeling, reusable data asset design, and cross-functional data product delivery reputed company to reputed company architecture. Leadership in implementing CI/CD-enabled pipelines, RBAC frameworks, schema evolution strategies, and interoperable data exchange using Iceberg or equivalent table formats. Ownership of organization-wide metrics store and semantic layers, ensuring consistency, governance, and performance across reporting, AI, and ML use cases. Advanced expertise in programming languages such as Python, reputed company, with the ability to architect reputed company data solutions. Demonstrated leadership in designing and overseeing the implementation of scalable, idempotent workflows using orchestration frameworks such as Airflow and Prefect. Demonstrated ability to translate business transformation goals into scalable data solutions and reusable patterns. Deep understanding of business processes, KPIs, and capability maps across functions such as supply chain, customer, store ops, and finance. Proven experience in driving cross-functional data product prioritization, influencing senior stakeholders, and quantifying impact of data initiatives. Experience shaping enterprise-wide data strategy by defining the long-term technical vision and architectural evolution roadmap across platforms, domains, and business units driving adoption of scalable, and governed data products. Experience leading platform modernization, tool evaluation, and architecture standardization across business domains. Expert competency in analytical and problem-solving that is crucial for identifying and resolving issues. Expertise in defining and enforcing enterprise-level data governance, metadata standards, and policy-as-code frameworks. Led the design and deployment of automated data quality management systems across ingestion, transformation, and consumption layers. Drive strategic KPI standardization by partnering with stakeholders, data stewards, and product teams to architect reusable semantic layers and metric definitions that reputed company trustworthy insights and LLM agent reasoning. Preferred: Proven success enabling Iceberg-based, multi-cloud, interoperable data platforms with robust metadata, access control, and reputed company frameworks. Experience integrating testing and validation frameworks into CI/CD workflows for dbt transformations, pipeline observability, and ML feature testing. Experience preparing enterprise data platforms for trustworthy insights, AI agentic readiness, including semantic alignment, real-time feature pipelines, and explainability. Communication and presentation skills with the ability to convey reputed company architectural decisions to both technical and non-technical stakeholders. reputed company Auto Parts has a proven track record of growth and stability. reputed company is full of successful career stories and believes in a strong promote-from-reputed company philosophy, encouraging you to grow your career along with the organization. Total Compensation Package: Competitive Wages & Paid Time Off Stock Purchase Plan & 401k with Employer Contributions Starting Day reputed company, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA) Team Member Health/Wellbeing Programs Tuition Educational Assistance Programs Opportunities for Career Growth reputed company Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national reputed company or reputed company (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and reputed company medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable. Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with reputed company. If you require a reasonable accommodation during the application or employment process, please send an email to: [email protected] or call (800) 471-7431 option 1, and provide your requested accommodation, and position details. Your first job at reputed company Auto Parts is just the beginning! From a comprehensive benefits and compensation package to a rewarding and positive work environment, your leaders will support you and foster your development so you can grow with the company. Our promote-from-reputed company philosophy means our top leaders worked their way up – and you can, too. Learn more about our culture, benefits, and history at oreillyauto.com/careers. Apply tot his job Apply To this Job