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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand and metro hiring make applicant competition moderate.
Extensive cloud, Databricks, streaming, and insurance-regulatory requirements increase domain specificity and reduce transferability.
Mandatory 12 years plus extensive technical stack and insurance domain expertise make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and implementation of scalable data engineering frameworks, patterns, and best practices aligned with business objectives.
Drive innovation by building highly scalable real-time data pipelines and data platforms supporting business needs.
Mentor and lead the data engineering team; evaluate emerging data technologies; collaborate with stakeholders for data alignment and governance.
Minimum Requirements
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field; Master's preferred.
Minimum 12 years of experience in data engineering roles; Life insurance domain experience preferred.
Proficiency in Python, Scala, SQL; experience in DevOps/DataOps including CI/CD and Git.
Experience with cloud data platforms (Azure, Snowflake), data streaming (Apache Kafka, Flink), and data warehousing tools (Databricks).
Ideal Candidate Profile
Experienced leader capable of managing and scaling data engineering teams while influencing at the data leadership level.
Strong background in life insurance domain data architectures within large-scale transformation projects.
Hands-on with modern data engineering technologies and implementing data governance, security, and compliance at enterprise scale.