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Metro location and senior generalist title balanced by niche data-platform specialization and mid-tier employer.
Requires deep, production data-platform and pipeline experience, limiting cross-industry transferability.
Explicit 8+ years plus mandatory large-scale data platform and cloud stack increases candidate filtering.
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Own and evolve the end-to-end architecture of Serko's data platform covering ingestion, storage, transformation, orchestration, and serving to support business growth.
Design and operate scalable, reliable batch and real-time data pipelines across cloud environments, implementing data modeling standards and enforcing data governance and security.
Provide technical leadership by mentoring engineers, setting engineering standards, resolving complex production incidents, and guiding implementation of architectural vision.
8+ years in software or data engineering with at least 5 years focused on large-scale data systems.
Expert-level SQL (including T-SQL) and proficiency in Python, Java, or Scala, with production experience in distributed processing frameworks such as Spark or Flink.
Experience architecting and operating cloud data warehouses or lakehouses (e.g., Snowflake, BigQuery, Databricks) and working knowledge of event-driven architectures (e.g., Kafka).
Work Experience Required: 8+ years in software or data engineering as above; Other hard requirements include cloud data systems, distributed architecture, and advanced data security protocols.
Experienced architect with proven ability to design and implement large-scale distributed data platforms that others have adopted in production.
Technical leader capable of translating complex architectural concepts into actionable implementation plans and mentoring senior/mid-level engineers.
Strong background in data platform design including event-driven systems and cloud-native microservices with deep Java and Spring Boot expertise.