The Problem

Most data teams are understaffed relative to their infrastructure footprint. A small team of engineers is simultaneously expected to build new pipelines, maintain existing ones, optimize performance, manage costs, respond to incidents, and support business stakeholders — all at once.

Something always gets deprioritized. Usually it’s the work that prevents the next outage.

The result: incidents that could have been prevented, performance that degrades gradually, and technical debt that accumulates until it forces a painful, expensive reckoning.

LakeOps provides the operational coverage your team can’t sustain on its own.

What LakeOps Covers

• Pipeline Management: Day-to-day ownership of your pipeline estate — monitoring job health, managing failures, handling schema changes, and keeping data flowing reliably to downstream consumers. We own the operational burden so your engineers don’t have to context-switch away from new development.

• Orchestration: Managing and optimizing your orchestration layer — whether that’s Airflow, Dagster, Prefect, or native platform scheduling. Dependency management, SLA tracking, retry logic, and alerting all stay current without your team having to maintain them manually.

• Query Optimization: Continuous monitoring of query performance, proactive identification of regressions, and optimization of the queries that drive your most important workloads. We track query costs and runtimes over time and address degradation before it becomes a problem.

• Incident Response: When something breaks, we’re on it. LakeOps includes defined SLAs for incident response, structured root cause analysis, and postmortem documentation — so failures lead to durable fixes, not just quick patches.

• Platform Hygiene: Storage cleanup, partition management, table maintenance, access control reviews, and the other ongoing housekeeping work that data lakes require. We keep your platform healthy so you don’t have to schedule quarterly cleanup sprints.

How We Work Together

LakeOps is not a black box. You retain full visibility into your platform and full control over architectural decisions. We operate as an extension of your team — embedded, responsive, and aligned with your roadmap.

Onboarding:  We begin with a structured handoff — documenting your current architecture, pipeline inventory, known issues, and operational runbooks. Nothing gets lost in the transition.

Ongoing operations:  Regular cadence of health reporting, cost tracking, and performance reviews. You always know what’s running, what’s at risk, and what we’re working on.

Escalation:  Clear protocols for when decisions require your team’s involvement — we handle what we can independently and escalate what we shouldn’t.

What You Get

• Pipeline ownership and monitoring — continuous coverage of your pipeline estate

• Incident response with defined SLAs — structured response, root cause analysis, durable fixes

• Query performance management — proactive optimization before regressions become outages

• Orchestration management — dependencies, SLAs, retry logic, alerting — all maintained

• Monthly health and cost reports — clear visibility into platform state and trends

• Platform hygiene — storage, partitions, access controls, table maintenance

Who This Is For

LakeOps is for data teams that are running a meaningful pipeline estate but don’t have — and don’t need — a dedicated platform engineering team to operate it.

It’s particularly valuable when:

• Your engineers are spending 30%+ of their time on operational work instead of new development

• You’ve had recurring incidents that trace back to lack of ongoing maintenance

• Your team is growing and the operational burden is growing faster

• You’re running Databricks, Snowflake, Spark, or Iceberg and need expert coverage without hiring for it

What We Don't Do

We don’t take over your platform and make it opaque. Documentation, runbooks, and institutional knowledge are maintained collaboratively — if you ever want to bring operations back in-house, you can.

We also don’t make architectural decisions unilaterally. Strategic direction stays with your team. We execute and optimize within the architecture you’ve defined.

Engagements are structured with clear scope and exit options.  No lock-in by design.

Get Started

The first step is a platform assessment — we document your current state, identify operational gaps, and propose a coverage model that fits your team and budget.

Contact us today to schedule a scoping call.