Data Platform Tech Lead

Mondo; Massachusetts; On-site; USD 96,000 - 110,000; Full time

Benefits offered by this job

Health benefits

401K

Remote work

Job summary

Mondo is seeking a Remote Data Platform Tech Lead to steer a data engineering team while remaining hands-on. You will modernize the data platform, set engineering standards, and translate business needs into scalable data solutions.

The role requires 5–7 years in data engineering with strong SQL and cloud data warehouse experience, plus expertise in Snowflake, dbt, and Power BI. Expect East Coast hours with monthly Massachusetts office visits.

Qualifications

• 5-7 years of experience in data engineering, data platforms, analytics engineering, or data integration.
• Strong end-to-end data experience across extraction, ingestion, transformation, modeling, and reporting.
• Advanced SQL and cloud data warehouse experience.
• Strong Snowflake experience or highly comparable cloud data warehouse experience.
• Hands-on ETL/ELT and scalable data pipeline development experience.
• Power BI experience.
• Experience integrating data from APIs, files, SaaS applications, and/or on-prem systems.
• ERP integration experience; Sage X3 is highly preferred.
• Experience working with manufacturing, supply chain, inventory, distribution, or similar operational data.
• Experience leading or mentoring technical employees while remaining hands-on.
• Strong stakeholder communication skills, including the ability to work effectively with nontechnical business users.
• Experience establishing technical standards, documentation, code review, testing, and development best practices.
• Agile/product delivery experience, including managing technical debt and breaking large initiatives into achievable increments.
• Stable employment history or credible explanations for career transitions.
• Ability to work remotely while supporting East Coast hours and traveling to the Massachusetts office approximately once per month.

Responsibilities

• Lead and mentor a small technical team of data professionals.
• Remain hands-on by taking technical stories during each sprint.
• Own the end-to-end data lifecycle from extraction through reporting.
• Build and manage ETL/ELT pipelines across APIs, files, SaaS, and on-prem systems.
• Integrate ERP and business application data across sales, finance, inventory, manufacturing, supply chain, and operations.
• Develop scalable data models and reusable architecture.
• Manage and improve Snowflake, Matillion, dbt, Power BI, and Python-based solutions.
• Help modernize legacy integrations and potentially transition portions of the platform to Microsoft Fabric.
• Establish standards for architecture, development, testing, CI/CD, documentation, monitoring, and deployment.
• Conduct code reviews and troubleshoot data pipeline issues.
• Manage and refine the technical backlog and help teams deliver through MVPs and incremental releases.
• Partner closely with technical teams, business stakeholders, product owners, and manufacturing technology teams.
• Convert manual business processes into scalable, automated data solutions.
• Transfer knowledge and best practices to the internal team throughout the engagement.

Skills

Data engineering

Data platforms

Analytics engineering

ETL/ELT

SQL

Snowflake

dbt

Power BI

Python

API integration

SaaS integration

On-prem systems

ERP integration (Sage X3)

Manufacturing / supply chain data

Agile / product delivery

Mentoring / leadership

Remote work / East Coast hours

Tools

Matillion

Microsoft Fabric

Sage X3 ERP

Job description

Job Title: Data Platform Tech Lead
Location-Type: Remote
Start Date Is: ASAP (approximately 2 weeks from offer)
Duration: 12-18 month contract
Compensation Range: $70-$80/hour W2
Benefits:Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship.

Job Description

Lead and mentor a data engineering team while remaining hands-on, helping modernize the data platform, establish engineering standards, and translate business needs into scalable data solutions.

Day-to-Day Responsibilities

• Lead and mentor a small technical team of data professionals.
• Remain hands-on by taking technical stories during each sprint.
• Own the end-to-end data lifecycle from extraction through reporting.
• Build and manage ETL/ELT pipelines across APIs, files, SaaS, and on-prem systems.
• Integrate ERP and business application data across sales, finance, inventory, manufacturing, supply chain, and operations.
• Develop scalable data models and reusable architecture.
• Manage and improve Snowflake, Matillion, dbt, Power BI, and Python-based solutions.
• Help modernize legacy integrations and potentially transition portions of the platform to Microsoft Fabric.
• Establish standards for architecture, development, testing, CI/CD, documentation, monitoring, and deployment.
• Conduct code reviews and troubleshoot data pipeline issues.
• Manage and refine the technical backlog and help teams deliver through MVPs and incremental releases.
• Partner closely with technical teams, business stakeholders, product owners, and manufacturing technology teams.
• Convert manual business processes into scalable, automated data solutions.
• Transfer knowledge and best practices to the internal team throughout the engagement.
• 5-7 years of experience in data engineering, data platforms, analytics engineering, or data integration.
• Strong end-to-end data experience across extraction, ingestion, transformation, modeling, and reporting.
• Advanced SQL and cloud data warehouse experience.
• Strong Snowflake experience or highly comparable cloud data warehouse experience.
• Hands-on ETL/ELT and scalable data pipeline development experience.
• Power BI experience.
• Experience integrating data from APIs, files, SaaS applications, and/or on-prem systems.
• ERP integration experience; Sage X3 is highly preferred.
• Experience working with manufacturing, supply chain, inventory, distribution, or similar operational data.
• Experience leading or mentoring technical employees while remaining hands-on.
• Strong stakeholder communication skills, including the ability to work effectively with nontechnical business users.
• Experience establishing technical standards, documentation, code review, testing, and development best practices.
• Agile/product delivery experience, including managing technical debt and breaking large initiatives into achievable increments.
• Stable employment history or credible explanations for career transitions.
• Ability to work remotely while supporting East Coast hours and traveling to the Massachusetts office approximately once per month.

Minimum Requirements

• 5-7 years of experience in data engineering, data platforms, analytics engineering, or data integration.
• Strong end-to-end data experience across extraction, ingestion, transformation, modeling, and reporting.
• Advanced SQL and cloud data warehouse experience.
• Strong Snowflake experience or highly comparable cloud data warehouse experience.
• Hands-on ETL/ELT and scalable data pipeline development experience.
• Strong dbt experience.
• Power BI experience.
• Experience integrating data from APIs, files, SaaS applications, and/or on-prem systems.
• ERP integration experience; Sage X3 is highly preferred.
• Experience working with manufacturing, supply chain, inventory, distribution, or similar operational data.
• Experience leading or mentoring technical employees while remaining hands-on.
• Strong stakeholder communication skills, including the ability to work effectively with nontechnical business users.
• Experience establishing technical standards, documentation, code review, testing, and development best practices.
• Agile/product delivery experience, including managing technical debt and breaking large initiatives into achievable increments.
• Stable employment history or credible explanations for career transitions.
• Ability to work remotely while supporting East Coast hours and traveling to the Massachusetts office approximately once per month.

Preferred Qualifications

• Matillion experience.
• Python experience.
• Microsoft Fabric experience.
• Direct Sage X3 experience.
• Experience migrating on-prem SQL Server environments to cloud data warehouses.
• Experience partnering with OT or plant/manufacturing technology teams.
• Formal people management experience, including one-on-ones, performance reviews, and employee development.
• Experience scaling a data function or taking ownership beyond an individual analytics team.
• Agile development, automated testing, CI/CD, and version-control experience.