Stability Over Heroics
Design workflows to run reliably day after day, without relying on hero moments or manual intervention.
DataOps
Bringing reliability, observability, and calm operations to your data pipelines so they run consistently—without constant firefighting.
Data engineering gets the pipelines and models built. DataOps keeps them healthy. As data systems grow, the challenge shifts from “can we move this data?” to “can we trust this data to show up correctly, every time, without surprises?”
DataOps at StepStream focuses on orchestration, monitoring, alerting, and operational practices around tools like Airflow, Prefect, and your warehouse. The goal is to make your data flows observable, predictable, and easy to support—so your team spends less time chasing failed jobs and more time using the data.
Whether you're just getting started with orchestration or trying to tame an existing tangle of DAGs and scripts, we'll shape a DataOps layer that fits your team, your workloads, and your risk tolerance.
What We Focus On
- Designing and organizing Airflow / Prefect DAGs
- Scheduling, dependency management, and SLAs
- Monitoring, alerting, and logging for pipelines
- Retry, backoff, and failure-handling strategies
- Runbooks and playbooks for on-call and support teams
What This Means for You
- Fewer surprises and late-night pipeline issues
- Clear visibility into what's running, where, and why
- Reduced operational load on your engineers and analysts
- More confidence in the freshness and quality of your data
- A data platform that can scale without collapsing under its own weight
How We Approach DataOps
The goal is to make data operations boring—in the best possible way. Predictable runs, clear alerts, and calm, well-defined processes.
Observability First
Make it easy to see what's broken, where, and why—so issues are fixed quickly and rarely repeated.
Support the Humans
Provide runbooks, documentation, and patterns so your team feels confident supporting the system over time.
From Pipelines to Operations
A straightforward process to bring structure and calm to your ongoing data operations.
1. Assess
Review existing pipelines, orchestration, and current failure modes.
2. Design
Define structure, naming, dependencies, and observability patterns for your workloads.
3. Implement
Configure DAGs, alerts, logs, and dashboards, and migrate key workloads into the new structure.
4. Enable
Document patterns, create runbooks, and support your team as they take ownership.
“Healthy data operations make your entire analytics and engineering stack feel lighter.”
When pipelines are reliable and observable, everyone—from engineers to executives—can trust the data they rely on.
Need Calm, Predictable Data Operations?
If your data workflows feel fragile or noisy, we can help design a DataOps layer that brings stability and clarity to your daily operations.
Schedule a DataOps Conversation
StepStream Solutions is a fractional CTO and product acceleration studio helping founders build trustworthy data platforms and modern cloud foundations.
Solutions
How We Partner
- Fractional CTO leadership for seed to growth teams
- End-to-end data platform and product assessments
- Embedded squads for net-new builds or modernization
Connect
-
- Address
- Remote-first · Dallas, TX
-
- Phone
-
- hello@stepstream.io
-
- Availability
- Mon–Fri · 8am – 6pm CT