# Senior Data Platform Engineer

**Company:** [1Password](https://hotfix.jobs/companies/1password)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $152k – $198k/yr
**Experience:** 7+ years
**Skills:** Apache Kafka, Apache Iceberg, Databricks, Snowflake, Terraform, Python, Go, Scala, Java, AWS, GCP, dbt, Dagster, Prometheus, Grafana
**Posted:** 2026-05-22

> Senior Data Platform Engineer building a streaming-first, domain-oriented data platform on Kafka, Iceberg, Databricks, and Snowflake to enable near real-time governed data access.

## Job Description

## What we're looking for
- Passion for designing, implementing, and operating stable, scalable, and efficient data systems
- Deep experience with streaming architectures and event-driven data pipelines
- Strong focus on schema governance, data quality, and data lifecycle management
- Proven track record of architecting, building, deploying, and supporting scalable production systems (7+ years)
- Experience leading through individual technical contribution while mentoring data platform engineers
- Commitment to software engineering and data infrastructure best practices
- Curiosity and interest in emerging AI technologies
- BS, MS, or Ph.D. in Computer Science preferred
- 5+ years experience working on Cloud Platforms (AWS primarily or GCP) and open-source data infrastructure tools
- 5+ years experience with Big Data query engines & data stores (Databricks, Snowflake, Redshift, etc.)
- Strong cross-functional communication skills
- Experience programming, building and deploying large-scale distributed systems in Python, Go, Scala/Java, or similar languages
- 5+ years experience with large-scale, distributed systems design and development (scaling, replication, consistency, high availability)
- 5+ years experience with Infrastructure as Code (IaC) tools like Terraform or Ansible
- Experience with compute layers like EC2, ECS, EKS or similar

## Bonus points for
- Implementing secure systems/datastores with least privilege access (IAM) and encryption
- Experience using streaming technologies like Apache Kafka, Kinesis, Flink, etc.
- Implementing quality monitoring/alerting using Prometheus, Grafana or Datadog
- Experience with Dagster or other orchestration tooling
- Experience with data modelling tooling such as dbt

## What you can expect
- Design, implement, and maintain a streaming-first data platform built on Apache Kafka, Protobuf, and Apache Iceberg
- Build and operate a hybrid Databricks and Snowflake architecture for data engineering, streaming, AI/ML workloads, analytics, and reporting
- Own the unified storage layer for consistent and governed data foundation
- Champion platform standards, tooling, and best practices across the data organization

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**Apply:** https://hotfix.jobs/jobs/094eb124-f8e3-4e63-8c17-aa39d45e3245
**Canonical:** https://hotfix.jobs/jobs/094eb124-f8e3-4e63-8c17-aa39d45e3245