IT Manager of Data Platform & Engineering

Purplejack Technologies Llc

Brownsville, WI, United States

8 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Automation of Tests BigQuery Information Systems Continuous Integration Data Architecture Information Engineering Data Governance Data Infrastructure Python (Programming Language) Cloud Services Software Engineering

+6 more

SQL Databases Snowflake Microsoft Fabric Information Technology Data Management Databricks

Job description

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., 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.

Requirements

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