# Engineering Manager, Data Platform

**Company:** [SentiLink](https://hotfix.jobs/companies/sentilink)
**Location:** Remote
**Role:** Engineering Management
**Salary:** $200k – $240k/yr
**Skills:** Python, Go, Postgres, Redshift, Spark, Docker, Opensearch, AWS, Emr, SQL
**Posted:** 2026-04-08

> Leads data platform engineering team to build and scale data infrastructure, pipelines, and services powering fraud detection, ML models, and analytics. Requires 2+ years managing data teams, deep data engineering expertise, and experience with AWS data technologies.

## Job Description

## Responsibilities
- Lead and grow a team of data engineers responsible for SentiLink’s data platform and infrastructure
- Define and drive the technical vision for data ingestion, processing, storage, and serving systems
- Design and evolve scalable data pipelines (batch and real-time) to support product and data science use cases
- Ensure high standards for data quality, reliability, and observability across all data systems
- Partner with Data Science to enable their pipelines and enable efficient access to high-quality data
- Collaborate with Product and Engineering teams to power data-driven features and decisioning systems
- Work closely with Infrastructure to optimize performance, cost, and scalability of data systems
- Establish best practices for data governance, schema management, and pipeline reliability
- Support operational excellence, including monitoring, alerting, and incident response for data systems
- Hire, mentor, and develop engineers while maintaining a high hiring bar
- Foster a culture of ownership, accountability, and continuous improvement
- Contribute to architecture and technical problem-solving as needed

## Requirements
- 2-5+ years of engineering management experience leading data or platform teams
- Strong background as a senior or staff-level data engineer or backend engineer with data focus
- Experience building and scaling data platforms, including ETL/ELT pipelines and data infrastructure
- Proficiency in Python, Golang, or similar languages
- Deep understanding of distributed data systems, batch and streaming architectures
- Experience with cloud-based data platforms (AWS, GCP, or Azure)
- Strong knowledge of databases, data modeling, and query optimization (SQL, RDBMS, data warehouses)
- Track record of delivering reliable, scalable data systems in production environments
- Comfortable leading technical discussions and diving into system design details
- Experience operating in fast-paced, startup or growth-stage environments

## Preferred
- Experience with big data and streaming technologies (Spark, Kafka, Flink, etc.)
- Familiarity with data lakes, warehouses (Redshift), and modern data architectures
- Experience building data platforms that support ML or fraud/risk systems
- Fintech or fraud domain experience

## Compensation
- $200,000/year - $240,000/year + equity + benefits
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more

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**Apply:** https://hotfix.jobs/jobs/282bbda7-f835-4599-b097-2a654255033a
**Canonical:** https://hotfix.jobs/jobs/282bbda7-f835-4599-b097-2a654255033a