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Strong brand, popular data role, and likely metro location increase applicant competition.
Core data engineering skills are transferable but MarTech/business-insights domain knowledge increases specificity.
Explicit 8+ years and mandatory Databricks/Spark/SQL and cloud/DevOps skills make filters strict.
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Lead design and development of scalable, highly available distributed systems supporting Paid & Owned Media Business Intelligence using Python, Node.js, React, and cloud-native architectures.
Own data engineering jobs, integrations, database management, performance optimization, and ensure solution quality through code reviews, testing, and CI/CD pipelines.
Collaborate with product managers, engineers, and stakeholders to translate business reporting needs into actionable, reliable marketing intelligence solutions.
8+ years software development experience with Python or Java, Databricks, Hive, Spark, EMR, SQL.
Experience with microservices architecture, domain-driven design, RESTful APIs, and cloud services (AWS EC2, ECS, API Gateway, Lambda, DynamoDB).
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent.
Strong understanding of Agile/Scrum, technical code reviews, CI/CD, and experience in marketing analytics or business insights domain.
Experienced in MarTech and Business Insights domain, capable of bridging technical and marketing goals effectively.
Skilled in designing and delivering end-to-end data and BI solutions with high scalability and reliability in cloud-native environments.
Proven ability to lead technical teams, collaborate cross-functionally, and oversee software delivery from design through production support.