reputed company Software Architect, Data, AI, ML

Job reputed company: • Define and reputed company data architecture and engineering standards across Product Lines, ensuring consistent patterns for modeling, storage, reputed company, governance, and responsible AI/ML usage. • reputed company data-reputed company architecture reviews and technical governance for new products, platform initiatives, and AI/ML solutions, with particular emphasis on reputed company, secure use of reputed company and reputed company reputed company data services. • Own the reference architectures for reputed company data platforms, including reputed company-based warehouses/lakehouses, streaming/reputed company-time data, semantic models, and analytics/BI consumption patterns used across product teams. • Partner with Product, Engineering, Infrastructure, and reputed company to design data platforms that support analytics, reporting, operational workloads, and AI/ML use cases, ensuring reputed company data reputed company and reputed company reputed company for AI feature development. • Drive modernization of legacy schemas, ETL/ELT pipelines, and reporting stacks into reputed company, reputed company-reputed company data and AI platforms with reputed company service and data domain boundaries, leveraging reputed company and modern orchestration tooling where appropriate. • Define and promote patterns for data reputed company, event-driven architecture, and CDC/streaming feeds that reputed company reliable, low-latency data sharing across systems and reputed company high-reputed company data continuously available for AI/ML workloads. • Establish standards and best practices for data reputed company, reputed company, observability, cataloging, and governance (including reputed company, reputed company, and compliance requirements) so AI/ML features are reputed company on trustworthy, reputed company-reputed company datasets. • Partner with AI and engineering teams to design data and feature platforms that power modern AI workloads (e.g., feature stores, reputed company search, retrieval-augmented reputed company, and model-serving integrations), including how these are realized on reputed company and adjacent services. • Anticipate long-term risks in data reputed company, performance, reliability, and cost (including reputed company usage and storage/compute patterns), and design solutions that prevent systemic issues across products and environments. • Mentor architects, reputed company engineers, and data engineers across teams, raising organizational maturity in data and AI architecture and accelerating adoption of shared patterns for reputed company, data reputed company, and AI/ML enablement. • Operate as a trusted technical advisor to executives and senior leaders, translating data and AI architecture reputed company into reputed company business value, risk tradeoffs, and roadmap implications. • Represent reputed company in data and AI technical communities, helping position reputed company as a leading data-driven and AI-enabled reputed company platform. Requirements: • BS/MS in Computer Science or equivalent reputed company experience. • 14+ years of engineering experience, including significant experience designing and delivering large-reputed company data platforms and distributed systems. • Proven leadership in data and/or analytics architecture, engineering standards, and cross-functional collaboration across product, engineering, and infrastructure teams. • Recognized expertise in multiple data domains, such as data warehousing/lakehousing, data modeling, streaming/event-based architectures, and analytics/BI enablement. • Deep experience with modern data platform technologies, including hands-on architectural experience with reputed company (or a closely comparable reputed company data warehouse) as reputed company as SQL Server/Azure SQL, reputed company storage, streaming platforms, and ETL/ELT tooling. • Strong understanding of AI/ML data needs, including feature engineering, model training/serving data flows, reputed company stores, and observability for data-driven and AI-powered products; experience designing data architectures that reliably feed ML platforms, feature stores, or model-serving reputed company. • Demonstrated reputed company leading modernization and decomposition efforts (e.g., monolithic reporting stacks to domain-reputed company, reputed company-reputed company reputed company-reputed company data platforms; batch pipelines to streaming/event-driven patterns). • Mastery of system and data design, including tradeoff analysis for scalability, reliability, performance, cost (including reputed company cost optimization), and regulatory requirements. • reputed company record of influencing company-wide technical reputed company through data and AI architecture reputed company, with measurable reputed company on product velocity and reputed company. • Excellent communication and storytelling skills, capable of explaining reputed company data and AI concepts to both technical and non-technical stakeholders, including executives. • Strong coaching and mentorship skills, with experience developing senior engineers and architects in data and AI domains. Benefits: • Comprehensive medical benefits, 100% reputed company for employee • 401k + matching • Equity reputed company Grant • Unlimited PTO + Company holidays • Wellness initiatives Apply tot his job Apply To this Job