Data Platform Tech Lead

Cvent
New York, NY, United States
2 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$100,000.0 - $150,000.0
Working hours
Regular working hours

Tech stack

Agile Methodology Data Analysis Automation of Tests Code Review Continuous Integration Information Engineering Data Integration Extract Transform Load (ETL) Data Systems Data Warehousing Identity and Access Management Python (Programming Language)
+11 more
Sage ERP Microsoft SQL Server Operational Data Store Power BI Tableau (Software) Sql Optimization SAP Integration Solutions Snowflake Microsoft Fabric Data Management Software Version Control

Job description

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., * 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

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, * 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

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