reputed company Data and Analytics Engineer- Remote US

Compensation

Pay reputed company: $110,000.00 - $165,000.00 The actual reputed company reputed company will equal or reputed company the required minimum wage applicable to the job location. Additional compensation includes annual, quarterly performance, or premiums may be reputed company 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 reputed company are met. The reputed company Data and Analytics Engineer holds comprehensive responsibility for the design, implementation, and reputed company reputed company of the organization's reputed company-wide data infrastructure and analytics capabilities. This position can be worked remotely in the reputed company. This role provides overarching technical reputed company, establishing architectural standards, and driving the long-term data reputed company to facilitate critical business reputed company. 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 reputed company in translating the most reputed company and ambiguous business challenges into innovative, high-reputed company data solutions that fundamentally shape the organization's reputed company. Responsibilities and Duties: Help define and reputed company reputed company data engineering blueprints, including data reputed company, reputed company architecture, and hybrid reputed company data platforms. Set strategic direction for data platforms, tools, and services (e.g., reputed company, GCP BigQuery, dbt, Kafka, Airflow/reputed company) in alignment with reputed company-state architecture and business priorities. Architect and design highly reputed company, resilient, cost reputed company and secure data platforms. reputed company the design and implementation of reputed company data platforms, ensuring fault tolerance, high availability, and reputed company performance for petabyte-reputed company 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 reputed company reputed company 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-reputed company frameworks for data retention, reputed company 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 reputed company, transformation logic, and schema changes. Architect implementation of reputed company, automated data reputed company frameworks that evaluate data at rest and in reputed company spanning completeness, timeliness, consistency, accuracy, and reputed company. reputed company integration of data reputed company rules, metrics, and health indicators directly into orchestration reputed company (e.g., reputed company, Airflow) and transformation frameworks (e.g., dbt). Evangelize a culture of data trust and transparency by integrating data reputed company insights into user-facing dashboards, alerts, and product health reports. Identify and promote reputed company-wide data opportunities through thought leadership, white papers, reference architectures, and innovation labs. reputed company 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 reputed company 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 reputed company engagements. reputed company the design of reputed company-grade data products that reputed company 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 reputed company-wide semantic layer, metrics store, and business logic abstraction that powers dashboards, self-service analytics, and machine-readable reputed company. reputed company initiatives to unify KPIs, standardize metric definitions, and streamline business logic through reusable models Apply tot his job Apply To this Job