Alation interview preparation.

Minimum 6+ years of consulting experience in a lead role with a proven track record of delivering successful projects that achieve measurable business outcomes by effectively addressing complex data management requirements, often within budget and with a focus on urgency.

Experience delivering services as part of a software company, understanding the dynamics of product implementation and customer success in the context of driving business results through technology.

Extensive data management experience with a focus on how data governance, data quality, master data management, and/or reference data directly enable business capabilities and contribute to achieving strategic objectives.

12+ years in software engineering, with significant time in customer-facing technical leadership roles such as FDE, Solutions Architect, or CTO-office equivalents.

Deep, hands-on experience with LLM orchestration frameworks including LangChain, AutoGen, and CrewAI, as well as vector databases, RAG architectures, and fine-tuning ML models for enterprise use cases.

Proven track record delivering large-scale BI and data pipeline solutions, equally comfortable with SQL and cloud warehousing as with predictive modeling.

Experience prospecting into mid-market, enterprise, and/or strategic accounts using cold calling, personalized email, LinkedIn, account-based outbound, and multi-channel engagement.

Practical experience using modern sales technology, AI, sales intelligence, and intent-based insights to work smarter across account research, prioritization, personalization, discovery preparation, follow-up, and pipeline creation.