Data Engineering Lead
Architect resilient data platforms that empower analytics at scale.
What You'll Do
Architect resilient data platforms, governance models, and mentorship programs that empower analytics at scale.
Your Impact
Here's what you'll be responsible for in this role
Design batch and streaming pipelines with robust lineage and cataloging
Define governance controls, quality rules, and retention policies
Optimize warehouses, lakehouses, and vector stores for performance
Lead code reviews, platform upgrades, and reliability initiatives
Coach engineers on ETL/ELT best practices and real-time ingestion patterns
What We're Looking For
- 8+ years building data platforms on cloud-native stacks
- Expertise in Spark, Kafka, Airflow, dbt, Delta/Iceberg, and SQL
- Knowledge of data mesh, security segmentation, and cost governance
- Experience integrating BI, ML, and API consumers on shared layers
- Strong leadership with distributed teams and vendor partners
What We Offer
We believe in taking care of our team members
Apply for Data Engineering Lead
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Data Engineering Lead
Data Platform
Key Skills
Application Tips
- Keep your cover letter under 600 words
- Highlight measurable achievements
- Tailor skills to match the job description
- Upload a PDF resume for best results
What happens next?
- 1Application review (3–5 days)
- 2Technical / culture screening call
- 3Final interview round
- 4Offer & onboarding