Data Platform Tech Lead

Apply now: Data Platform Tech Lead, location is Remote. The start date is ASAP (approximately 2 weeks from offer) for this 12-18 month contract position.

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.

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.

• 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.