Software Engineer, Data Platform

movableink; United States; Remote; USD 91,000 - 116,000; Full time

Benefits offered by this job

Elixir

Airflow

Kafka

Flink

Databricks/ClickHouse

Job summary

Movable Ink seeks a Senior Data Platform Engineer to help build and modernize a shared data platform. You’ll design ingestion pipelines, support multi-cloud deployments, and ensure governed access for engineering, analytics, and ML teams.

The role emphasizes collaboration across product engineering, analytics, and ML teams, with a focus on data governance, scalability, and reliable data services for diverse workloads.

Qualifications

• Ability to learn new technologies while keeping product and end-user needs in view.
• Knowledge of data governance and lifecycle practices, including quality, lineage, retention, and access control.
• Familiarity with OLTP and OLAP databases, production data warehouse systems, and SQL query writing and optimization.

Responsibilities

• Design and deliver data ingestion pipelines and infrastructure.
• Migrate legacy data lifecycle processes to a newer platform while maintaining service for existing consumers.
• Set and track service indicators and dashboards.
• Build storage for transactional, analytical, and ML workloads.
• Improve monitoring, observability, and incident response for data pipelines and services.
• Collaborate across product engineering, analytics, and ML to define requirements, contracts, and standards.
• Develop metadata to classify data assets, clarify exposure policies, and identify reuse opportunities.
• Contribute to multi-tenant data models that support secure sharing and client isolation.

Skills

Learning new technologies

Data governance

SQL optimization

Cross-team collaboration

System design communication

Tools

Docker

Kubernetes

Job description

Role overview

Contribute to a shared data platform that ingests, processes, and makes large volumes of information available across products. You’ll build pipelines and backend services, help modernize existing data flows, and support dependable, governed access for engineering, analytics, and machine learning teams.

Responsibilities

• Help design and deliver data ingestion pipelines and their supporting infrastructure.
• Support migration of legacy data lifecycle processes to a newer platform while maintaining service for existing consumers.
• Set and track service indicators and objectives with dashboards and alerts.
• Build storage capabilities for transactional, analytical, and machine learning workloads.
• Improve monitoring, observability, and incident response for data pipelines and services.
• Work across product engineering, analytics, and machine learning to define requirements, contracts, and standards.
• Develop metadata that helps classify and discover data assets, clarify exposure policies, and identify reuse opportunities.
• Contribute to multi-tenant data models that support secure sharing and client isolation.

Requirements

• Ability to learn new technologies and understand unfamiliar problem areas, while keeping product and end-user needs in view.
• Knowledge of data governance and lifecycle practices, including quality, lineage, retention, and access control.
• Familiarity with OLTP and OLAP databases, production data warehouse systems, and SQL query writing and optimization.
• Experience designing and operating cloud data systems, including AWS or GCP and multi-cloud deployments.
• Proficiency with Docker and Kubernetes, plus experience integrating legacy systems with modern platforms.
• Strong communication and collaboration skills for system design, documentation, and work across teams.

Nice to have

• Elixir, Airflow, Kafka, Flink, or experience with columnar databases such as Databricks or ClickHouse.
• Infrastructure-as-code experience with Terraform, CloudFormation, or similar tools.

Benefits and work setup

• The listed base salary range is CAD $130,000–$165,000, with a possible bonus and a range of medical, financial, and other benefits. The offer may vary with relevant skills and experience.