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Tier-1 employer and metro location increase applicant density despite seniority and niche OT/data requirements.
OT-specific SCADA, MQTT, and energy-domain data pipeline expertise limit cross-industry transferability.
8+ years requirement, senior/lead expectations, and mandatory Azure/Databricks certifications create high filter rigor.
Design, develop, and maintain scalable, reliable data pipelines ingesting OT data into a cloud data lake to ensure stability and continuity of data operations.
Drive system reliability by troubleshooting complex issues, managing CI/CD pipelines, and implementing DevOps best practices including infrastructure-as-code and automated testing.
Guide architectural decisions, mentor team members, and collaborate with stakeholders to deliver secure, high-quality data solutions compliant with cybersecurity requirements.
Bachelor’s degree in Computer Science, Engineering, IT, or related field.
8+ years of experience in data engineering, specifically in cloud-based data platforms.
Proven experience in senior or lead roles managing complex systems and mentoring teams.
Mandatory technical skills include SQL, Data Integration, SSIS, Azure Data Factory, Databricks, Python, Data Lakes, MQTT, Microsoft Azure, CI/CD, DevOps, and Git.
Senior-level data engineer with demonstrated technical leadership and proven ability to independently manage and optimize complex cloud data platforms.
Experience working in OT or cybersecurity-sensitive environments, given focus on secure data transmission and compliance requirements.
Strong strategic mindset towards stability, efficiency, and reliability in large-scale data pipeline operations within agile teams.