Software Engineer, Data Foundations
Blue Sky Marketing GroupMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand and remote role increase applicant density despite specialized data architecture requirements.
Role requires specialized data architecture and modeling, making cross-industry transferability limited.
Mandatory 6+ years and deep data architecture, modeling, and pipeline experience makes filters quite strict.
Job Description
Structured overview of role & requirementsAbout This Role
Architect and build scalable, fault-tolerant data pipelines for batch and streaming data to create trusted datasets.
Own data quality and observability end-to-end including monitoring, alerting, testing, and documentation for pipelines and models.
Design and evolve semantic and metric layers and enterprise-scale data solutions integrating Generative AI frameworks to enable reliable analytics and deterministic LLM querying.
Minimum Requirements
6+ years of software engineering experience with a strong focus on data architecture or system design.
Proven ability to architect complex data models (grain selection, key strategy, schema design) and scale 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.
Ideal Candidate Profile
Experienced in partnering with business teams and product leaders to translate ambiguous requirements into technical data solutions.
Skilled in building batch and streaming data pipeline architectures including multi-region replication.
Comfortable working at the intersection of systems engineering, domain modeling, and client delivery with a focus on technical health and rapid iteration.