Senior AI Data & Analytics Engineer II

For our client, we are seeking a Senior AI Data & Analytics Engineer II to join the team of a leader in the Enterprise Technology space. This role will shape the data and AI foundation that powers marketing analytics and self-serve decision-making across the business. You will architect scalable data pipelines, strengthen data models and semantic layers, and help teams turn complex questions into reliable, actionable insights. In addition, you will partner with cross-functional stakeholders to improve data quality, automate workflows, and apply AI where it can create meaningful operational impact. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $137,445 – $231,000 annually Responsibilities Define the strategy and multi-quarter roadmap for the data and AI foundation Architect and manage the marketing data infrastructure, including ETL/ELT pipelines and core data models Design semantic layers and documentation for self-serve BI and analytics, ensuring data integrity Translate ambiguous business questions into clear requirements and scalable solutions autonomously Lead cross-team initiatives, managing risks and ensuring data quality and reliability Serve as the senior technical lead, enhancing engineering quality and mentoring team members Drive strategic AI use to solve high-impact problems and automate workflows across teams Qualifications 8+ years of experience in data engineering, analytics engineering, or AI engineering with hands-on data engineering expertise Expert-level proficiency in Python and SQL, with strong data modeling and dbt experience Deep knowledge of data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack, including Databricks or similar Experience in building semantic layers and structured documentation for AI workflows Familiarity with agentic coding tools and ownership of AI-generated outputs Proven track record in leading complex, cross-team data initiatives with diverse stakeholders Experience supporting Marketing, Sales, or Product teams Benefits Flexible, employee-led remote work model Professional development stipend for continuous learning Comprehensive health and parental leave plans Performance-based bonuses and equity opportunities in a high-growth public company Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.