Back
Strong employer brand, remote option, and mid-level engineering role increase applicant density.
Role requires domain-specific data architecture, modeling, and semantic layer expertise, limiting cross-industry portability.
Explicit 6+ years and specialized data architecture, modeling, and pipeline requirements enforce high candidate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and build scalable, fault-tolerant data pipelines for batch and streaming data to create trusted datasets.
Own end-to-end data quality, observability, monitoring, alerting, testing, and documentation for data pipelines and models.
Architect and evolve semantic and metric layers and enterprise-scale data solutions leveraging Generative AI frameworks.
6+ years of software engineering experience with a strong focus on data architecture or system design.
Proven ability in complex data modeling (grain selection, key strategy, schema design) and scaling data platforms in multi-tenant environments.
Fluency in Python, Java, or Scala with solid software engineering fundamentals.
Deep expertise in data modeling paradigms such as dimensional modeling, Data Vault, or One Big Table.
Experienced in partnering with business teams or product leaders to translate ambiguous requirements into technical solutions.
Skilled in designing both batch and streaming pipeline architectures including multi-region replication.
Able to apply advanced data modeling and architectural principles within large-scale data platforms integrating AI/ML technologies.