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# Senior Data Analytics Engineering Lead

- **Company:** Optomi LLC
- **Location:** Raleigh, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Data Auditing, Data Validation, Information Engineering, Data Infrastructure, Data Visualization, Decision Support Systems, Sql Optimization, Apache Spark, Data Analytics
- **Published:** November 12, 2026
- **Apply:** https://www.thejobnetwork.com/job/961eb8f1-6430-470f-9d09-af917ef72863/senior-data-analytics-engineering-lead

## About the Role

* 8+ years of experience in analytics, data engineering, instrumentation, business intelligence, and/or data visualization.
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 * Advanced SQL expertise with the ability to analyze and transform complex datasets.
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 * Strong hands-on experience utilizing Spark within enterprise-scale data environments.
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 * Experience building and maintaining scalable data and metrics pipelines.
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 * Proven experience creating instrumentation specifications and partnering with engineering teams on data collection strategies.
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 * Strong background in data validation, quality assessment, root-cause analysis, and reporting accuracy.
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 * Experience designing dashboards and executive-facing visualizations.
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 * Hands-on experience leveraging AI tools for data exploration, mining, and analytics workflows.
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 * Demonstrated ability to manage multiple business functions and stakeholder groups with minimal oversight.
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 * Strong executive communication skills with the ability to present technical findings to non-technical audiences.
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## Description

Optomi, in partnership with a leading technology organization, is seeking a Senior Data Analytics Engineering Lead to join a highly visible team responsible for driving analytics, reporting, instrumentation, and data-driven decision making across multiple lines of business. This individual will serve as a trusted advisor to stakeholders, owning critical metrics from definition through delivery while building scalable data solutions that enable business growth. The ideal candidate combines strong analytics expertise, hands-on data engineering experience, and exceptional communication skills to translate complex data into actionable business insights.