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SEGULA Technologies

Auburn / Global

Data analyst/Data Engineer

Job Description

Position Summary The Lead Product Development Data Engineer owns key data processes and analytics applications within the broader Product Development Process (PDP). In this cross-functional role, you will bridge the gap between Engineering and enterprise organizations—including IT, Manufacturing, Finance, Purchasing, and Supply Chain—to establish standardized, high-performing data workflows, modern cloud architectures, and scalable analytics solutions. Key Responsibilities 1. Data Architecture & Cloud Engineering

Enterprise Platform Management: Build, optimize, and maintain big data pipelines and architectures leveraging Snowflake, Databricks, or Microsoft Fabric.

Cloud & Data Pipelines: Design scalable data models and storage solutions (Lakehouse, DirectLake) using SQL, Python, PySpark, and cloud ecosystems across Azure or AWS.

Modern Analytics Integration: Migrate legacy data workflows to modern cloud architectures, establishing robust data governance, pipeline security, and data lineage.

2. Process Governance & Analytics Standards

Process Ownership: Drive global uniformity, documentation, and continuous refinement across assigned Product Development processes and digital applications.

Business Intelligence & Dashboards: Develop, deploy, and maintain executive-level dashboards and reporting tools using Power BI, PowerApps, and Palantir Foundry.

Workflow Automation: Streamline administrative and operational cross-functional engineering tasks using Power Automate and Microsoft 365 tools.

3. Cross-Functional Leadership & AI/ML Support

Stakeholder Alignment: Collaborate across IT, Manufacturing, Finance, Purchasing, and Program Management to capture technical requirements and align business goals.

AI/ML Workflows: Support the integration of machine learning models and predictive analytics into existing engineering data pipelines.

Executive Communication: Translate complex data technicalities and process trade-offs into clear decision packages, business cases, and leadership presentations.

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