Staff Software Engineer

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

About Persistent:

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 24 sequential quarters of growth with $436.5M in Q4 FY26 revenue, up 17.4% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence™ Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix® Assessment 2025.

About The Role

Persistent is looking for a Staff Data Platform Engineer to help shape and scale a next-generation data platform for a Healthcare & Life Sciences project.

You’ll lead the architecture and evolution of large-scale analytical and OLAP serving systems, working with technologies such as StarRocks, ClickHouse, Druid, Kafka, Flink, Iceberg, and S3. The role will focus on multi-tenant architecture, schema and partitioning strategy, query performance, streaming-to-OLAP integration, and production scalability.

If you’re a senior technical leader who enjoys solving complex data platform and analytical architecture challenges, influencing technical direction, and mentoring experienced engineers, we’d love to hear from you.

Role: Staff Data Platform Engineer

Location: Mexico

Mode of Work: Hybrid (GDL) / Remote

Experience: 5+ Years of Experience

Job Type: Full Time Employee

What You'll Do:

• Own pipeline slices end-to-end: data ingest into a distributed streaming platform, stream-processing transform jobs, and projection of clean, contract-compliant records into downstream stores.
• Onboard new data domains and production entities — legacy schema mapping, streaming topic contracts, and stream-processing job development.
• Build and run stream-processing jobs in the cloud — transforms along the change-data-capture → streaming → processing path and batch ingestion via managed big-data services — including checkpointing, failure recovery, and job-level runbooks.
• Deploy and troubleshoot streaming and processing workloads on a container orchestration platform — job lifecycle and day-to-day application-level troubleshooting, in partnership with SRE on the underlying cluster.
• Partner with downstream teams on data contracts: schema ownership, where consumers read from, and clear boundaries between the ETL pipeline and the teams that serve on top of it.

Expertise You'll Bring:

Minimum Qualifications

• 5+ years experience building production grade streaming pipeline systems.
• Hands-on experience with a distributed streaming/messaging platform (Kafka + Flink/Spark or similar): topic and partition design, consumer group semantics, compaction, and schema-aware serialization.
• Production experience with a distributed stream-processing engine: SQL or DataStream-style jobs, state management, checkpointing, and operational debugging of long-running jobs.
• CDC ingestion familiarity — WAL or log-based change capture into a streaming platform.
• Demonstrated experience with SQL and schema design across relational sources.
• Demonstrated experience deploying and troubleshooting streaming workloads on a container orchestration platform — basic troubleshooting of deployments and running jobs.
• Track record shipping observable, testable pipeline components — health checks, smoke gates, benchmark-driven validation.
• Ability to work independently on assigned roadmap items while coordinating with cross-functional partners on contract boundaries.

Preferred Qualifications

• Direct, hands‑on experience with Apache Kafka and Apache Flink
• Familiarity with Debezium CDC capture.
• Experience projecting streaming data into an OLAP or analytical serving engine (StarRocks, ClickHouse, Druid, Pinot, or similar).
• Awareness of Gov Cloud deployment constraints and data residency considerations.
• Experience with multi‑tenant SaaS data workloads (tenant partitioning, hot‑partition skew).

Benefits:

• 30 days Christmas bonus (Aguinaldo)
• 13% Saving fund, capped to the law limit.
• 12% Grocery coupons, capped to the law limit.
• 12 vacation days first year + 6 floating days – number of vacation days increase according to seniority.
• Annual performance evaluation with rewards and recognitions.
• Up to USD 200 pre‑approved annually for certifications relevant to the employee’s role.
• Free courses available at internal platforms.
• Major medical insurance (Spouse and children Included)
• Minor medical insurance (Spouse and children Included)
• Dental Insurance (Spouse and children Included)
• Visual Insurance (Spouse and children Included)
• Life insurance.
• Preferential price on car insurance (car fleet).

Our company fosters a values-driven and people-centric work environment that enables our employees to:

• Accelerate growth, both professionally and personally.
• Impact the world in powerful, positive ways, using the latest technologies.
• Enjoy collaborative innovation, with diversity and work‑life wellbeing at the core.
• Unlock global opportunities to work and learn with the industry’s best.

Let’s unleash your full potential at Persistent - persistent.com/careers