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Alpheva is seeking a remote, project-based data-platform expert to assess and optimize large-scale batch and streaming architectures, lakehouse design, and data contracts. You will review pipelines for correctness, observability, and cost-aware scalability while identifying governance gaps in production.
Required 7+ years building production data platforms with Advanced SQL and knowledge of Spark, Kafka, dbt, and Airflow.
Assess large-scale batch and streaming architectures, lakehouse design, data contracts, orchestration, lineage, and production data quality.
Review AI-generated pipelines for correctness, idempotency, schema evolution, recovery behavior, observability, and cost-aware scalability.
Identify weak ownership boundaries, silent data-quality failures, brittle dependencies, and governance gaps that would surface in production.
Provide practical corrections using SQL, Spark, Kafka, dbt, Airflow, and comparable modern data-platform patterns.
Remote, project-based contract work. Scope and hours depend on project matching; the listed hourly range applies to matched work.
$135–$205/hr
Alpheva is a new expert network (launched September 2026); payout methods are not published yet, so confirm your first payment before scaling up.