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Protocol Intelligence
Data-driven signals on your job's competitivenessMedium — metro location, popular data engineering title, and broad skill requirements moderately increase competition.
Medium — core data engineering skills transfer across industries, but principal-level depth requires domain-specific experience.
High — explicit minimum experience plus mandatory cloud, streaming, Spark and DevOps technology requirements.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and development of scalable and robust data pipelines and infrastructure to support efficient data processing and availability for analytics.
Drive architectural standards and prototypes for data frameworks, modeling, and automated reporting systems to optimize data usability.
Manage stakeholder relationships to align data engineering solutions with organizational objectives and enable timely data-driven decision-making.
Minimum Requirements
Minimum 6 years relevant work experience, typically 10+ years preferred.
Experience with cloud data platforms and big data technologies (Snowflake, AWS, Kafka, Spark) explicitly required.
Proven expertise in building and maintaining scalable data engineering solutions involving data ingestion, streaming, and transformation.
Strong background in DevOps practices related to code management, CI/CD, and deployment.
Ideal Candidate Profile
Experienced technical leader capable of setting long-term architecture and guiding enterprise-scale data systems development.
Operationally oriented with focus on reliability, observability, and performance of data infrastructure.
Proficient in cloud-based data ecosystems and modern data engineering tools, balancing strategic decision making on trade-offs in speed, cost, and risk.