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Data Platform Engineer

Purplejack Technologies LLCBrownsville, WI🇺🇸United StatesPosted 25 Aug 2026

Why This Role Stands Out

This hybrid role offers significant growth and impact as you'll lead the development of large-scale cloud data platforms, honing your skills in modern data engineering practices. You'll thrive here if you have extensive experience in data engineering, team leadership, and a passion for building robust data products. Embrace this opportunity to advance your career with a reputable company.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Brownsville, WI, United States
Posted
6 days ago
SQLSnowflakeBigQueryDatabricksPython

Job Description

Hello,
Hope you are doing well.

I came across your resume on a job portal, and your background appears to be a strong match for an exciting opportunity we are currently hiring for.

Position:  IT Manager - Data Platform & Engineering
Location:   Brownsville, WI
Fulltime.

Must-Have Skills

  • Bachelor''s degree in Computer Science, Information Systems, Engineering, or a related quantitative or technical field, or equivalent hands-on experience
  • 8+ years of experience in data engineering, data platform engineering, or software engineering
  • 4+ years leading technical teams with accountability for hiring, coaching, and delivery
  • Proven experience building and operating large-scale, complex cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, or BigQuery
  • Experience delivering governed, reusable data products serving·      
  • Experience delivering governed, reusable data products serving organizations across multiple departments and technical personas
  • Deep hands-on proficiency with SQL, Python, and modern data engineering practices, including orchestration, transformation, automated testing, CI/CD, and both batch and streaming Ingestion.
  •  Experience building reliable, observable pipelines with monitoring, lineage, and data quality controls that operate within enterprise governance, privacy, and security requirements
  • Track record of building AI-ready data platforms that are well-documented, well-structured, and trustworthy enough to serve both analytics and AI/GenAI use cases

 
Key Responsibilities 
  •  Recruit, hire, and develop the founding data engineering team, establishing the roles, standards, and operating practices needed to scale responsibly. 
  • Lead the buildout of the enterprise data platform on the selected technology stack, implementing ingestion, storage, transformation, and orchestration layers that convert raw source data into trusted, reusable assets. 
  • Partner with business and technology stakeholders to understand their needs and sequence the engineering backlog, making deliberate tradeoffs across value, speed, cost, risk, and maintainability. 
  • Stay hands-on as a technical leader, working alongside the team to design, build, and optimize the pipelines and transformation logic behind priority data products. 
  • Collaborate with data architecture and data governance teams to ensure platform decisions are durable, interoperable, and ready to support future analytics and AI use cases.  Establish foundational engineering disciplines that enable a lean team to reliably operate and support what it builds, using AI and automation to extend capacity.


Description

The IT Manager of Data Platform & Engineering leads the development and evolution of an enterprise data platform. As a founding leader on the Enterprise Intelligence team, this individual will build and lead the data engineering function, establish engineering best practices, and deliver trusted, governed data products. This role partners across business and IT teams to enable analytics, reporting, operational insights, and AI while creating a scalable data foundation for the future. 

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Regards,
Pooja Shikha

+1-

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