Staff Data Engineer

Plot Technologies, Inc

$120K — $160K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Deep experience operating Postgres in production, focusing on read/write concurrency.
  • Strong systems intuition, with an emphasis on identifying bottlenecks and tradeoffs.
  • Experience in designing analytical data architectures, including read-optimized schemas and large-scale querying.
  • Comfort in leading ambiguous, high-impact projects and navigating complex systems.
  • High ownership mindset with a focus on correctness, reliability, and maintainability of systems.
  • Curiosity and a desire to build foundational systems that others depend on.
  • Minimum 5 years of relevant experience.

Responsibilities

  • Own the core data systems that drive Plot's functionality.
  • Stabilize and improve high-throughput data ingestion paths.
  • Design and maintain responsive data access patterns for dashboards and queries.
  • Separate transactional and analytical workloads effectively.
  • Build optimized data models that enhance insight retrieval.
  • Enable advanced AI-native analytics capabilities within internal tools.
  • Make impactful architectural decisions and guide the evolution of data systems.
  • Raise reliability and performance standards across the engineering team.

Benefits

  • Collaborative work environment with a focus on innovation and creativity.
  • Opportunities for personal and professional growth.
  • Flexible work arrangements to support work-life balance.
  • Access to advanced tools and technologies for data engineering.
Full Job Description
What You'll Work On
  • Own the core data systems that power Plot. You'll take responsibility for how millions of enriched videos flow from ingestion 1 storage 1 analytics 1 product surfaces.
  • Stabilize and harden high-throughput write paths. Our pipelines ingest and enrich data continuously; you'll diagnose failure modes, reduce error rates, and make ingestion reliable, observable, and predictable.
  • Design data access patterns that stay fast under pressure. You'll ensure dashboards and analytical queries remain responsive even while large volumes of data are being written concurrently.
  • Separate transactional and analytical concerns. You'll lead decisions around which workloads belong where, and design the systems and contracts that keep them from stepping on each other.
  • Build read-optimized models for insight, not just storage. This includes partitioning strategies, rollups, and schemas that reflect how data is actually queried - by humans and by AI.
  • Enable AI-native analytics. You'll shape how our internal tools and AI agents query and reason over data, making it possible to answer complex analytical questions without brute-force scans.
  • Make architectural calls that matter. You'll evaluate tradeoffs, write RFCs, and guide the evolution of Plot's data platform as scale, product needs, and AI capabilities grow.
  • Raise the bar for reliability and performance across the team. You'll define best practices, unblock other engineers, and become a go-to resource for data-related decisions.
What We're Looking For
  • Deep experience operating Postgres in production under real-world read/write concurrency. You understand partitioning, locking, autovacuum, connection pooling, and why systems fail in subtle ways.
  • Strong systems intuition. You think in bottlenecks, failure modes, and tradeoffs - not just indexes or tooling.
  • Experience designing or owning analytical data architectures, including read-optimized schemas, aggregations, or large-scale querying patterns.
  • Comfort leading ambiguous, high-impact work. You can take a messy system, form a clear mental model, and chart a pragmatic path forward.
  • High ownership mindset. You like digging into logs, metrics, and real data - and you care deeply about correctness, reliability, and long-term maintainability.
  • Curiosity, pragmatism, and a desire to build foundational systems that other engineers and AI systems depend on. No degree requirements.
  • Minimum 5 years of relevant experience

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