Data Analyst / Data Engineer

The Lead Product Development Data Engineer role at Segula Technologies focuses on creating standardized data workflows and scalable analytics for the Product Development Process (PDP), while serving as a bridge between Engineering and enterprise teams.

Key Responsibilities

• Build, optimize, and maintain big data pipelines and architectures using Snowflake, Databricks, or Microsoft Fabric.
• Design scalable data models and storage solutions including Lakehouse and DirectLake, applying SQL, Python, and PySpark across cloud ecosystems on Azure or AWS.
• Migrate legacy data workflows into modern cloud architectures, while establishing data governance, pipeline security, and data lineage.
• Promote global uniformity by maintaining documentation and continuously refining data processes and digital applications within assigned PDP areas.
• Develop, deploy, and maintain executive-level dashboards and reporting tools using Power BI, PowerApps, and Palantir Foundry.
• Streamline administrative and operational cross-functional engineering work with Power Automate and Microsoft 365 tools.
• Collaborate with IT, Manufacturing, Finance, Purchasing, and Program Management to capture technical requirements and align solutions with business goals.
• Support the integration of machine learning models and predictive analytics into existing engineering data pipelines.
• Convert complex technical topics and process trade-offs into clear decision materials, business cases, and leadership presentations.

Requirements

• Bachelor of Science degree in Engineering from an accredited program.
• Hands-on experience with Snowflake or Databricks.
• Proficiency in SQL, Python, and/or PySpark.
• Proven expertise with tools including Power BI, SharePoint, PowerApps, Power Automate, Azure, or Palantir Foundry.
• Hands-on experience with modern cloud architectures, including Microsoft Fabric (Lakehouse, DirectLake, DAX, Dataflows) and/or AWS cloud services.
• Demonstrated leadership, self-starter approach, strong organizational skills, and fluent English communication skills, including the ability to present to all levels of management.

Preferred Qualifications

• Master’s degree in Data Science, Business Analytics, Computer Science, Information Technology, or a related field.
• Experience supporting core engineering processes such as Sourcing, Quality, Validation, Manufacturing, Logistics, or Program Management.
• Experience integrating predictive models or AI capabilities into production data pipelines.
• Proven ability in business process mapping, writing Business Requirements Documents (BRDs), and maintaining technical process documentation.
• Familiarity with open-source frameworks such as Apache Spark or Hadoop.

Technologies

Snowflake, Databricks, Microsoft Fabric (Lakehouse, DirectLake, DAX, Dataflows), SQL, Python, PySpark, Lakehouse, Azure, AWS, Power BI, PowerApps, Palantir Foundry, Power Automate, Microsoft 365, SharePoint.

Location

Auburn Hills, MI (onsite)