Data Engineering Solution Lead
Description
Mindex is looking for a Data Engineering Solution Lead to head a focused team migrating Informatica pipelines into Maia (Matillion) and Snowflake. You’ll own the technical design for roughly 1,500-1,700 pipelines, turn one-off legacy pipelines into repeatable conversion patterns, and serve as the team’s primary contact with our client. The ideal candidate pairs deep ETL/ELT architecture experience with clear communication and a client-first mindset.
We welcome candidates from a variety of locations; however, all candidates should be open to occasional in-person participation for business meetings, team events, or collaboration opportunities. Candidates located within approximately 35 miles of Rochester, NY may be asked to work from the office more frequently based on business or team needs.
Compensation
$105,000 - $155,000
What You’ll Accomplish
- Own the client-approved, end-to-end design for migrating Informatica pipelines to Maia (Matillion) and Snowflake, including target architecture, orchestration, error handling, and operational standards.
- Define a repeatable process to discover, classify, convert, test, and promote pipelines, and maintain a shared library of conversion patterns and high-impact reusable components.
- Design connector and authentication patterns for on-premises and Azure SQL Server, files, APIs, and MongoDB.
- Set testing standards and sign-off evidence, and review pipelines, test evidence, and documentation for final quality, sending work back when needed.
- Scale AI-assisted conversion to increase throughput, with guardrails and review steps that protect quality.
- Partner with cli...
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis.