Staff Data Platform Engineer - Hybrid/Remote, Streaming & OLAP

Persistent Systems; México; Hybrid; MXN 900,000 - 1,500,000; Full time

Benefits offered by this job

Christmas bonus

Saving fund

Grocery coupons

Vacation days +6

Annual review rewards

Certifications stipend

Free courses

Medical insurance

Dental insurance

Vision insurance

Life insurance

Car insurance discount

Job summary

Persistent is seeking a Staff Data Platform Engineer to shape and scale a next-generation data platform for Healthcare & Life Sciences. You will lead architecture for analytical and OLAP systems using StarRocks, ClickHouse, Druid, Kafka, Flink, Iceberg and S3, with a focus on multi-tenant architecture, partitioning, query performance and production readiness.

You will mentor engineers, drive technical direction, and own end-to-end data pipelines from ingestion to downstream stores.

Qualifications

• 5+ years experience building production grade streaming pipeline systems.
• Hands-on experience with a distributed streaming platform (Kafka + Flink/Spark) and topic/partition design.
• Production experience with a distributed stream-processing engine; state management and checkpointing.
• CDC ingestion familiarity — WAL or log-based change capture.
• Demonstrated SQL and schema design across relational sources.
• Deploying and troubleshooting streaming workloads on container orchestration platforms.
• Track record shipping observable, testable pipeline components and health checks.

Responsibilities

• Own pipeline slices end-to-end: ingestion into distributed streaming platform and downstream projections.
• Onboard new data domains—legacy schema mapping and stream contracts.
• Build and run stream-processing jobs in the cloud with checkpointing and recovery.
• Deploy and troubleshoot workloads on a container orchestration platform with SRE partnership.
• Collaborate with downstream teams on data contracts and boundaries between ETL and top-layer services.

Skills

Streaming pipelines

Kafka

Flink

SQL

Schema design

Tools

Kafka

Flink / Spark

StarRocks

ClickHouse

Druid

Debezium

Iceberg

Cloud (GCP/AWS)

Job description

Persistent is seeking a Staff Data Platform Engineer to shape and scale a next-generation data platform for Healthcare & Life Sciences. You will lead architecture for analytical and OLAP systems using StarRocks, ClickHouse, Druid, Kafka, Flink, Iceberg and S3, with a focus on multi-tenant architecture, partitioning, query performance and production readiness.

You will mentor engineers, drive technical direction, and own end-to-end data pipelines from ingestion to downstream stores.