Director, Data Engineering

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🔥 1 minute ago

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $165k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Semiconductor Insight

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

💼 Consulting

📣 Marketing

Consulting • Marketing • Semiconductors

Semiconductor Insight is a company that provides real-time data and analysis for the semiconductor industry. They focus on a wide range of categories related to semiconductors, including analog circuits, communication systems, control systems, digital circuits, diodes, embedded systems, integrated circuits, microprocessors, and more. Their offerings include reports and insights designed to help businesses stay ahead in the fast-paced semiconductor market. Additionally, they provide customer service and support through secure payment options and a money-back guarantee, along with updates on deals and special offers through their newsletter.

📋 Description

• Define and execute a data infrastructure roadmap centered on Lakehouse architecture • Integrate structured and unstructured data for real-time operational analytics and large-scale AI/ML workloads • Establish data governance, cataloging, and lineage frameworks for secure, trusted AI models and LLMs • Partner with OT and Engineering teams to ingest and operationalize IIoT and supply chain data • Create a unified data ecosystem supporting predictive maintenance and factory-floor efficiency • Lead the transition from legacy BI tools to modern, self-service analytics platforms • Lead adoption of MLOps and DataOps methodologies • Ensure data quality, security, and compliance in automated environments • Collaborate with business unit leaders to prioritize data products driving revenue growth or cost reductions • Build and mentor a team of data engineers, ML engineers, and data architects • Bridge cloud-native environments with complex legacy manufacturing systems

🎯 Requirements

• 15+ years in data strategy, architecture, and engineering • At least 5 years in a leadership role driving organizational change • 5+ years managing data and analytics teams • Demonstrated experience designing and deploying Lakehouse architectures at scale, such as Databricks, Snowflake, or similar • Proven experience operationalizing AI/ML models in an enterprise environment • Deep understanding of data preparation for LLMs and generative AI • Extensive experience with Azure or equivalent cloud hyperscaler data stacks, including Synapse/Fabric, ADLS Gen2, and Azure AI • Advanced proficiency in Python, Spark, and SQL • Strong experience with CI/CD for data pipelines and infrastructure-as-code • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field • Experience with data governance frameworks and tools • Exposure to advanced analytics, data science, or machine learning initiatives • Experience in manufacturing, industrial, or eCommerce environments preferred • Ability to work in both office and manufacturing environments • Availability to work outside core business hours, including nights, weekends, and holidays, when required • Ability to sit or stand for long periods • Ability to lift 30–50 lbs without assistance • Valid driver’s license and passport • Ability to travel locally and internationally as needed

🏖️ Benefits

• Fully remote work arrangement • Local and/or international travel as needed (10–15%), including some extended stays on location for education or deployments

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