Data Engineering Pod (Manager & Engineer)

Gratia • Dallas, TX

1d • Hybrid

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 address unstructured and messy legacy data environments during the critical post-merger integration phase. This involves identifying key data relevant to the investment thesis and constructing the necessary pipelines to deliver it. Two remote, US-based roles are available to form the foundation of this pod. Both roles require an initial six-week on-site sprint at the portfolio company, followed by a transition to a hybrid/remote model. This is a long-term consulting engagement with the potential for future team expansion.

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 role).
• Executive presence to manage portfolio company leadership and technical depth to unblock engineers (for Manager role).
• 3+ years of hands-on experience in data engineering or data architecture, or equivalent experience (for Engineer role).
• Deep proficiency in SQL, Python, and modern cloud data stacks (for Engineer role).
• Track record of delivering repeatable data processes and pipelines from scratch in messy data environments (for Engineer role).

Nice To Haves

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

Responsibilities

• Define the data strategy against the value creation plan.
• Manage portfolio company leadership and executive stakeholders.
• Build data pipelines to deliver critical data.
• Untangle legacy data systems.
• Write code to transform disparate data into reliable commercial insights.
• Develop repeatable data processes and pipelines from scratch in messy data environments.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed