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About
Key Responsibilities
Define and evolve the long-term data architecture and technical vision
Design highly scalable, resilient data platforms and pipelines
Set standards for data modeling, reliability, observability, and governance
Lead complex, high-risk technical initiatives and migrations
Serve as the escalation point for critical data incidents and root cause analysis
Influence tool selection and technology adoption across the data stack
Mentor Staff and Senior Data Engineers and elevate engineering excellence
Partner with leadership to align data strategy with business goals
Ensure data platforms support analytics, ML, and product use cases at scale
Qualifications
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
10+ years of experience in data engineering or related disciplines
Expert-level SQL and strong proficiency in Python or similar languages
Deep experience with data warehousing, data lakes, and distributed systems
Proven track record of designing and operating large-scale data platforms
Strong systems thinking and architectural decision-making skills
Preferred Experience
Cloud platforms (AWS, Azure, or GCP)
Streaming and real-time systems (Kafka, Spark, Flink, etc.)
Advanced data governance, security, and compliance practices
Supporting ML, AI, or product-led data platforms
Influencing technical direction without direct managerial authority
Languages
- English
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