Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Franklin Fitch is partnering with a large US law firm to migrate its legacy SQL Server data warehouse to Microsoft Fabric. We seek a Senior Data Engineer to own the modernisation, build safe pipelines, and enable secure data access for AI and back‑office automation.
This hands‑on role offers direct access to the hiring manager, with potential to grow into a technical lead and flexible remote work with occasional office visits to US locations.
This role is only open in the following states: Alabama, Arizona, California, Colorado, Delaware, District of Columbia, Florida, Georgia, Maryland, Massachusetts, Nevada, New York, North Carolina, Ohio, South Carolina, Tennessee, Texas, Virginia
Want to take ownership of a data platform at a pivotal point in its modernisation?
We’re partnering with a large US law firm that is moving its legacy SQL Server data warehouse to Microsoft Fabric. The firm now needs a Senior Data Engineer who can understand what has been built, take ownership of it and develop it safely over the long term.
This is a hands‑on role with direct access to the hiring manager. You’ll support business‑critical financial reporting, prepare for a major accounting‑system change and help make data available securely for AI and back‑office automation. There is potential for the role to develop into a technical lead position.
Key Responsibilities
Platform ownership
Pipelines and reporting
AI and data security
Ownership and communication
Key Skills & Qualifications
Required
Preferred
Roughly five to seven years of relevant experience is the target, but directly comparable experience matters more than a strict year count.
The preference is for someone able to visit one of the firm’s US offices when needed. Fully remote working may be considered for the right person.
If you’ve worked on business‑critical data platforms and would enjoy owning the next stage of a Fabric migration, we’d like to hear from you, even if you don’t meet every preferred criterion.