Senior Director, Data Engineering

Senior Director, Data Engineering - Slack

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remote type

Office - Flexible

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

* 10+ years of experience in data engineering, data platform, or infrastructure engineering roles, including 5+ years in engineering leadership at the Director level or above * Proven track record building and scaling data platforms (ingestion pipelines, warehousing, semantic/metrics layers) at consumer or enterprise SaaS scale * Experience leading through organizational change — team consolidations, re-orgs, or multi-team integrations * Demonstrated success partnering with Data Science / Analytics leadership as a peer stakeholder * Strong track record of hiring, developing, and retaining engineering managers and senior ICs * Excellent cross-functional communication skills, with experience presenting technical vision and strategy to executive stakeholders * A related technical degree required

* Experience building data platforms that serve AI/ML workloads — not just dashboards and reports, but data infrastructure optimized for model training, feature serving, RAG retrieval, or agent-driven queries * Hands-on understanding of how LLMs and AI agents consume data — including semantic layers, embeddings, vector search, tool-use patterns (MCP, function calling), and structured vs. unstructured data access * Experience with agentic systems, AI-assisted analytics, or building developer tools powered by AI (e.g., AI coding assistants, automated data quality, natural-language-to-SQL) * Track record shipping data-as-a-product — APIs, SDKs, or self-serve platforms where internal or external developers are the primary consumers * Experience operating a "pod" or embedded working model that pairs engineering with data science/analytics * Familiarity with modern data stack components: warehouse infrastructure, streaming ingestion, semantic/metrics layers (governance, OLAP systems, Airflow-like orchestration) * Experience running experimentation platforms and A/B testing infrastructure at scale

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