Data Engineering Pod (Manager & Engineer)

Gratia•Dallas, TX

1d•$150•Remote

About The Position

Gratia is assembling a dedicated data engineering pod to embed directly within a leading private equity firm's newly acquired portfolio companies. The pod's mandate is to manage the critical post-merger integration phase, identify key data relevant to the investment thesis, and construct the necessary pipelines to deliver this data. These are remote, US-based consulting roles designed for long-term engagement, with the potential to scale by building an offshore team. Both roles require an initial six-week on-site sprint at the portfolio company before transitioning to a hybrid/remote model.

Requirements

5+ years of data architecture or technical strategy experience (or equivalent), with foundational experience at an MBB or Big Four consulting firm (for Manager).
Executive presence to manage portfolio company leadership and technical depth to unblock engineers (for Manager).
3+ years of hands-on experience in data engineering or data architecture, or equivalent experience (for Engineer).
Deep proficiency in SQL, Python, and modern cloud data stacks (for Engineer).

Nice To Haves

Experience in MDM (Master Data Management) (for Manager).
Direct experience working on private equity post-merger integrations or value creation plans (for Manager).

Responsibilities

Define the data strategy against the value creation plan (for Manager).
Manage portfolio company leadership and push back on C-suites when they prioritize the wrong fixes (for Manager).
Build the pipelines, untangle legacy systems, and write code to transform disparate data into reliable commercial insights (for Engineer).
Deliver repeatable data processes and pipelines from scratch in messy data environments (for Engineer).