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Mondo

Data Platform Tech Lead

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What they do

A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.

$116,839 / year median in Massachusetts

+10% projected growth

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Job Description

Apply now: Data Platform Tech Lead, location is Remote (Hybrid once a month in Fall River, MA). The start date is ASAP for this permanent position.

Job Title:
Data Platform Tech Lead Location-Type:

Remote (must reside within driving distance of Fall River, MA for ~once-monthly onsite collaboration)

Start Date Is:
ASAP Duration:
Permanent Compensation Range:

$130,000 - $150,000 + 5% annual bonus

Benefits:

Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. Our client, a leading food manufacturer based in Massachusetts, is seeking a Data Platform Tech Lead to own the technical direction of their modern data platform. This individual will lead a team of three (Senior Data Engineer, Analytics Engineer, and Reporting Analyst) while remaining hands-on, taking technical stories each sprint, and driving the end-to-end data lifecycle — from ingestion through modeling to reporting. The ideal candidate has deep experience with Snowflake, Matillion, and dbt, along with ERP integration experience, ideally with Sage X3, and a background in manufacturing, supply chain, or similar operational environments.

Job Summary:

Lead and mentor a team of three (Senior Data Engineer, Analytics Engineer, Reporting Analyst) while remaining hands-on each sprint Own the full data lifecycle: extract data from APIs, files, SaaS applications, and on-prem systems; build and manage ETL/ELT pipelines; ingest, cleanse, transform, and model data; deliver reporting and dashboards Integrate data from the company's ERP (Sage X3) and numerous business-owned applications, bringing together sales, finance, inventory, manufacturing, supply-chain, and operational data Manage and enhance the modern data stack: Snowflake, Matillion, dbt, Power BI, and Python Design scalable architecture and reusable data models aligned with business needs Support the potential evolution/migration of portions of the environment to Microsoft Fabric Work closely with nontechnical business stakeholders to translate business needs into technical solutions Conduct code reviews, establish best practices, troubleshoot pipeline issues, and improve documentation/testing Partner with the OT/manufacturing technology team Turn manual processes into scalable, automated data solutions

Minimum Requirements:

5-7+ years of experience in data engineering, data platforms, analytics engineering, or data integration Proven end-to-end data experience — not someone who has only done reporting or only maintained pipelines Advanced SQL and strong cloud data warehouse experience (Snowflake or highly comparable) Hands-on experience with ETL/ELT tools and building scalable pipelines dbt experience strongly preferred Experience building data models across complex business domains (Finance, Operations, Supply Chain) ERP integration experience; Sage X3 experience ideal Manufacturing, supply-chain, inventory, or distribution industry experience Experience leading or mentoring technical team members while remaining hands-on Strong communication skills with the ability to work with nontechnical stakeholders Stable tenure or credible explanations for career transitions Ability to work remotely while attending the Massachusetts office approximately once per month

Preferred Qualifications:

Direct Matillion experience Power BI or Tableau experience Python experience Microsoft Fabric experience Experience migrating from on-prem SQL Server environments to a cloud data warehouse Experience partnering with OT or plant/manufacturing technology teams Formal management experience (one-on-ones, performance reviews, employee development) Agile development, automated testing, CI/CD, and version-control experience