ACQ Ventures is a strategic venture capital fund empowering early-stage startups with funding, expert advice, and a robust network to accelerate growth.
About the role
Own the data platform end to end, including the warehouse, ingestion, transformation, semantic layer, orchestration, observability, vendors, and cost. Build the governed data systems behind production ML and LLM products, including versioned training, evaluation, feature, and retrieval datasets, embeddings and vector indexes, and controls for labeling, lineage, leakage, drift, and retrieval quality. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 8+ years of data engineering, analytics engineering, or data platform experience, including leading a data function and directly managing senior engineers, experience as a company's first or primary data leader is preferred
- Hands-on experience building or rebuilding a modern cloud data stack, with advanced SQL skills and practical experience with warehouse architecture, data modeling, transformation, orchestration, and observability
- Experience building a customer master or identity resolution model across multiple source systems, including matching logic, survivorship rules, and field-level provenance
- Experience delivering governed business metrics used by executives and Finance, including automated reconciliation, published data-quality standards, clear remediation ownership, and the ability to explain data tradeoffs in plain language
- Experience implementing data governance and privacy controls, including retention, deletion, lineage, role-based access, and working knowledge of CCPA and CPRA, financial transaction or multi-entity data experience is preferred
More about this role
Acquisition.com helps businesses scale. We hold data from thousands of client businesses, including company profiles, purchases, product usage, and live connections to bank, CRM, and advertising accounts. Our founders have said the company must be data-first before it can be AI-first. This role makes that true.
We are hiring our first Director of Data, the first leader solely accountable for the data function. Three Senior Data Engineers and a half-time analyst run the warehouse, single-client-record pipelines, and reporting used by Finance and Leadership, supporting two client-facing products in daily use. What is missing is one owner for accurate numbers, one reliable client record, AI-ready data, and one data program.
The mandate is to make data reliable and usable by people, products, and AI systems. You own the data platform, single client record, governed business metrics, and data used to train, evaluate, and ground AI systems. You lead the team and data quality program while remaining hands-on enough to write SQL, inspect models, and diagnose failures. You report to the CTO; Platform owns infrastructure and application engineering; AI Engineering owns model architecture...
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