Back
Tier-1 brand, remote/hybrid, mid-level generalist data role with broad platform requirements.
Strong bias toward experienced data platform and modeling backgrounds, limiting cross-industry transferability.
Mandatory 6+ years plus deep data modeling, pipeline, and platform experience enforces strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect the data platform foundation from ingestion through semantic layer to enable reliable analytics and deterministic LLM querying.
Design and build scalable, fault-tolerant data pipelines for batch and streaming patterns ensuring data quality, observability, and documentation.
Develop and evolve semantic and metric layers with sound data modeling principles and integrate enterprise-scale Generative AI frameworks to accelerate analytics.
6+ years of software engineering experience with substantial focus on data architecture or system design.
Proven ability to architect complex data models and scale data platforms in multi-tenant environments.
Fluency in Python, Java, or Scala and expertise in dimensional modeling, Data Vault, or One Big Table paradigms.
Experience with batch and streaming pipeline architectures including multi-region replication.
Experienced in partnering with business teams or product leaders to translate ambiguous requirements into technical data solutions.
Skilled in applying advanced data modeling techniques such as dimensional modeling or Data Vault at scale.
Comfortable operating within hybrid work environments and handling enterprise-grade, multi-region data systems.