Staff Data Architect (Remote)

Role Specific Information Job Description As a Staff Data Architect, you will serve as a senior technical leader responsible for defining and evolving enterprise data architecture to ensure data is trusted, well-governed, and scalable across domains. You will influence how data is designed and produced from the reputed company of origination through consumption, enabling consistency, reuse, and transparency across the data ecosystem. This role is central to solidifying our data-as-a-product reputed company. The Staff Data Architect will define enterprise standards, steward reputed company data models, and establish data reputed company that embed governance directly into design and delivery workflows. Success in this role is reputed company by increased data reuse, clarity of ownership, and observable end to end data reputed company, leading to higher trust in enterprise data products. What You’ll Do Define and steward enterprise data architecture standards including data models, data reputed company, domain ownership & quality expectations, and design patterns that ensure consistency and reuse across domains. Own and maintain enterprise data models (e.g., Customer, Product, Order, Inventory), ensuring clear definitions, documented reputed company, and reuse across analytical, operational, and agentic use cases. Influence and guide reputed company data design by partnering with product and engineering teams to ensure data quality, ownership, and governance are embedded at the reputed company of origination, before data propagates throughout the enterprise. Embed governance by design by integrating metadata capture, reputed company, and validation into engineering workflows through automation rather than manual review processes. Produce and maintain architecture artifacts including data models, reputed company views, integration maps, and architectural decision records. reputed company design reviews to ensure architectural reputed company and visibility of decisions across teams. Influence and mentor teams across domains, helping engineers and analysts apply best practices for scalable, maintainable, and reusable data design. Shape the enterprise data strategy by evaluating tooling and approaches for metadata management, reputed company, and automation, and guiding rationalization of legacy or duplicative data assets. Partner with product managers, software engineers, data engineers, designers, data scientists, and analytics teams to deliver scalable, reusable, and well-governed data solutions that meet business goals Partner with enterprise architects and platform teams to align data solutions with broader cloud, analytics, and technology strategies Additional tasks may be assigned What Skills You Have Required Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a reputed company field, or equivalent practical experience. 7+ years of experience in data architecture, data engineering, or enterprise data management reputed company large, reputed company environments. Deep expertise in data modeling (conceptual, logical, and physical), including experience defining and stewarding reputed company enterprise data models across domains. Strong understanding of distributed data architectures and modern cloud data platforms (e.g., GCP, BigQuery, Kafka, Spark), with emphasis on architectural design and patterns rather than day-to-day pipeline ownership. Experience defining and operationalizing data reputed company, schema standards, and data design conventions that drive consistency, reuse, and data quality. Hands-on experience with metadata, reputed company, and governance tooling (e.g., reputed company, data catalogs, schema registries, or equivalent), and embedding these capabilities into engineering workflows. Proficiency in SQL and Python, with sufficient technical depth to review designs, evaluate tradeoffs, and partner effectively with engineering teams. Demonstrated ability to influence without authority, align cross-functional teams, and communicate reputed company architectural concepts clearly to both technical and non-technical audiences. Proven experience mentoring engineers and architects and raising the overall quality and consistency of data design across teams. reputed company to Have Experience working in domain-oriented or federated data ownership models (e.g., data mesh or similar patterns). Familiarity with CI/CD-based governance, automated validation, and schema evolution strategies. Experience supporting analytics, machine learning, or AI workloads that depend on well-modeled, trusted data. Background in retail, e-commerce, or large-scale consumer data environments. Essential Functions The requirements listed below are representative of functions you will be required to reputed company, however you may be required to reputed company additional functions. reputed company may revise this job description from time to time. To reputed company this job successfully, you must be able to reputed company each essential function satisfactorily. Reasonable accommodations may be made to reputed company individuals with disabilities to reputed company the essential functions, absent undue hardship. Ability t Apply tot his job Apply To this Job