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Metro location, well-known SaaS brand, and broad data-stack requirements create moderate competition.
Requires deep modern data stack plus enterprise post-sales experience, so background fit is moderately sensitive.
Explicit 6+ years requirement plus deep modern data stack and enterprise engagement skills makes filtering strict.
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Act as the senior technical specialist for complex post-sales customer engagements including architecture reviews, expansion discussions, and senior-level technical conversations.
Lead technical discovery and solution design for mid-market and enterprise customers, translating complex requirements into actionable guidance for customers and internal engineering.
Build and maintain deep expertise in the modern data stack and identify expansion opportunities through technical engagement to support account managers in commercial discussions.
6+ years of experience in a technical, customer-facing role such as Solutions Engineering, Data Engineering, or technical post-sale consulting.
Deep knowledge of data engineering including ETL/ELT pipelines, cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks), orchestration, and modern data stack components.
Hands-on experience with data integration tools, Change Data Capture (CDC), event streaming, or warehouse-native transformation tools like dbt.
Strong communication skills with ability to engage at architectural level with CTOs, data architects, and senior engineers, including explaining complex technical concepts clearly and providing credible technical pushback.
Experienced in handling enterprise-level, technically complex conversations involving architectural decision-making and data infrastructure design.
Comfortable operating with high autonomy in a fast-moving, ambiguous environment, typically within startups or high-growth B2B SaaS contexts.
Deep strategic understanding of modern data infrastructure and ability to partner with senior technical stakeholders to build trust and long-term customer relationships.