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Senior, specialized data role reduces applicant density despite company visibility.
Medium because core data engineering skills transfer across industries, but legal/compliance domain adds domain specificity.
High due to explicit 10+ years requirement and mandatory deep data and AI/LLM engineering skills.
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Drive technical direction and architecture for a major product domain or platform capability aligned to business and customer needs.
Design and maintain data pipelines and reporting models supporting trusted business metrics and agentic AI systems like RAG ingestion, embeddings, and AI agent workflows.
Lead architectural debt remediation and technical debt strategies, provide technical guidance for roadmap, mentor engineers, and represent technical capabilities externally.
10+ years of software engineering experience with focus on technical leadership and architecture.
Strong expertise in data engineering principles: data modeling, warehousing, reporting, governance.
Technical skills in SQL, PostgreSQL, ETL/ELT pipelines, BI tools, analytics platforms, and practical experience with AI/LLM-adjacent data pipelines and agentic AI workflows.
Working knowledge of modern cloud platforms such as AWS.
Experienced in leading complex cross-functional initiatives involving product, engineering, analytics, and business teams.
Proficient in integrating AI-assisted engineering tools (e.g., Claude Code, Copilot) into workflows and advancing agentic AI capabilities.
Strategic thinker with a balanced focus on technical leadership, data infrastructure reliability, reporting trustworthiness, and innovation in AI-driven data solutions.