Senior Data and AI Platform Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data and AI Platform Engineer based in United States. This role sits at the core of a modern data and AI platform, shaping how enterprise-scale analytics, BI, and AI-driven workflows are designed, governed, and delivered. You will be responsible for building and evolving a robust Lakehouse architecture that powers trusted data across the organization. The work blends hands-on engineering with platform strategy, requiring both deep technical execution and strong architectural thinking. You will play a central role in enabling self-service analytics, governed datasets, and emerging agentic AI capabilities. Operating within a highly collaborative research and engineering environment, you will partner across multiple functions to translate complex data needs into scalable platform solutions. This is a high-impact role where your work directly influences data reliability, AI readiness, and decision-making across the business. \n Accountabilities: Design, build, and maintain scalable data pipelines and platform components supporting analytics, BI, data science, and AI use cases Lead the evolution of a Databricks-based Lakehouse platform, defining architecture, governance models, and engineering standards Develop and operate ingestion and transformation pipelines that ensure reliable, high-quality data availability across systems Enable enterprise-wide analytics and agentic AI capabilities through trusted datasets, semantic models, and governed data access Implement and improve platform capabilities such as data lineage, metadata management, observability, and cost/performance monitoring Collaborate with cross-functional teams including data science, engineering, product, and business stakeholders to translate requirements into durable data solutions Establish reusable frameworks and best practices for data modeling, testing, documentation, and AI-ready data structures Provide senior technical leadership through architecture design, code quality standards, mentoring, and engineering decision-making Requirements: Extensive experience in data engineering, analytics engineering, or data platform engineering roles in production environments Strong hands-on expertise with Databricks or similar Lakehouse and cloud data platform technologies Proven experience designing scalable data pipelines, governed data models, and enterprise analytics solutions Advanced SQL skills and strong proficiency in Python or similar programming languages for production-grade systems Deep understanding of data governance concepts including metadata, lineage, access control, and data quality frameworks Experience with orchestration, ingestion, transformation, testing, and monitoring of large-scale data systems Familiarity with modern AI and analytics concepts such as agentic analytics, semantic layers, or LLM-enabled workflows Strong communication skills with the ability to engage both technical and non-technical stakeholders effectively Ability to operate as a senior individual contributor driving architecture, influence, and execution without formal management responsibilities Benefits: Competitive base salary ranging from 150,000 to 230,000 USD Equity package included as part of total compensation Remote-first role within the United States Opportunity to work on cutting-edge AI and data platform technologies at scale High-impact work influencing enterprise analytics, BI, and AI adoption Collaborative, engineering-driven culture with strong emphasis on innovation and learning Exposure to modern Databricks ecosystem and emerging AI-native platform capabilities Opportunity for technical leadership growth in a fast-evolving data and AI environment \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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