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AI-ready data foundations · Production DataOps & pipeline engineering · Fractional data leadership · CI/CD for data pipelines · Schema drift, caught before it ships · RAG-ready semantic layers · Infrastructure as code · North America, remote-first

Data engineering service

Fractional Data Leadership for Growing Teams

Fractional data leadership gives growing teams senior data engineering direction a few days a week across pipeline health, KPI standardization, platform decisions, and team mentorship.

Book a data & AI-readiness audit

When you need it

Where this service fits

  • The team has real data complexity but no senior data lead to set standards and priorities.
  • Platform decisions and KPI definitions keep moving without a durable technical owner.
  • A full-time senior hire is not yet the right next step.

Audience and problems

Built around the current data reality

For teams like

  • Seed to Series B startups and scale-ups building their first durable data operating model.
  • Founders and engineering leaders who need senior judgment close to the work.

Common problems

  • Pipeline health is reactive and ownership is unclear.
  • KPIs are defined differently across product, finance, and operations.
  • Platform-buy decisions are made before the data and operating requirements are clear.

Outputs

What the work produces

Outcomes

  • A practical set of priorities for pipeline health and data-platform work.
  • More consistent KPI definitions and engineering standards.
  • Mentorship and decision support for the team doing the implementation.

Deliverables

  • Pipeline-health review and operating priorities.
  • KPI standardization and measurement guidance.
  • Platform-buy and build-vs-buy decision support.
  • Engineering standards, review, and team mentorship.

Engagement process

A practical path from current state to next step

  1. 01

    Orient

    We start with the current data environment, priorities, and decisions that need senior ownership.

  2. 02

    Set standards

    We establish practical expectations for pipelines, metrics, platform choices, and technical decision-making.

  3. 03

    Coach and steer

    We stay close enough to the work to guide implementation, unblock decisions, and mentor the team.

Tools and platforms

Work with the stack you have

  • dbt
  • Snowflake
  • Databricks
  • Apache Airflow
  • Terraform

Verified client proof

Hiring Aeolus consultants was easily the best decision given how much experience they brought to our growing team.
Pat Waltz, Product Manager, Jiga
Aeolus helped us scope, plan and build out the data and analytics foundation that scales. DE is an ever-changing industry and Aeolus seems to always know the best solution to our specific problem.
Alina Chang, Senior Analytics Engineer, Confido

Questions

Frequently asked questions

Fractional data leadership or a full-time data hire?

Fractional data leadership gives you senior data engineering direction a few days a week without a permanent senior hire. It fits companies with real data complexity that are not yet ready for that full-time role.

What does a fractional data lead cover?

The work can cover pipeline health, KPI standardization, platform-buy guidance, engineering standards, and mentorship.

How is Aeolus different from a large consultancy?

You work directly with a founder on every engagement: no account managers, no junior delivery bench, and no handoffs.