Principal Software Architect, Data, AI, ML

Job Description:

• Define and reputed company data architecture and engineering standards across Product Lines, ensuring consistent patterns for modeling, storage, access, governance, and responsible AI/ML usage.
• reputed company data-focused architecture reviews and technical governance for new products, platform initiatives, and AI/ML solutions, with particular emphasis on scalable, 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 clear data reputed company and safe reputed company for AI feature development.
• Drive modernization of legacy schemas, ETL/ELT pipelines, and reporting stacks into scalable, reputed company-native data and AI platforms with clear 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-quality data continuously available for AI/ML workloads.
• Establish standards and best practices for data quality, reputed company, observability, cataloging, and governance (including privacy, reputed company, and compliance requirements) so AI/ML features are built on trustworthy, well-understood datasets.
• Partner with AI and engineering teams to design data and feature platforms that power modern AI workloads (e.g., feature stores, vector 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 growth, 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, principal 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 clear business value, risk tradeoffs, and roadmap implications.
• Represent the company in data and AI technical communities, helping position reputed company as a leading data-driven and AI-enabled SaaS platform.

Requirements:

• BS/MS in Computer Science or equivalent professional experience.
• 14+ years of engineering experience, including significant experience designing and delivering large-scale 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 well 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, vector stores, and observability for data-driven and AI-powered products; experience designing data architectures that reliably feed ML platforms, feature stores, or model-serving layers.
• Demonstrated reputed company leading modernization and decomposition efforts (e.g., monolithic reporting stacks to domain-reputed company, reputed company-centric reputed company-native 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.
• Track record of influencing company-wide technical strategy through data and AI architecture reputed company, with measurable impact on product velocity and quality.
• 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% paid for employee
• 401k + matching
• Equity Option Grant
• Unlimited PTO + Company holidays
• Wellness initiatives

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