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Movable Ink

Platform for personalized, integrated marketing content

Senior Engineer - Data Platform

Data Management +1Confirmed live in the last 24 hours
Full-timeToronto, ON, CanadaRemote

About the Job

Requirements

  • Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control.
  • Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies such as Databricks, ClickHouse, or Redshift at production scale.
  • Strong familiarity with SQL and the ability to write and optimize queries.
  • Skill at building complex systems, identifying core primitives, and applying them to changing business needs and future roadmap requirements.
  • Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment.
  • Proficiency with containerization and orchestration technologies, including Docker and Kubernetes.
  • Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies.
  • Effective communication skills to facilitate system design discussions, document architectural decisions, and work across team boundaries.
  • Experience designing and operating data systems on AWS; GCP experience is a plus.
  • Strong collaboration and communication skills, including leading design discussions, writing technical specifications, and working across team boundaries.
  • Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar.

Responsibilities

  • Support the design and delivery of data ingestion pipelines and infrastructure.
  • Assist in migrating legacy data lifecycle management to the new platform without disrupting existing data consumers.
  • Establish and maintain SLIs and SLOs for the new ingestion and data platform, with dashboards and alerting to track performance.
  • Build a flexible data storage layer supporting transactional, analytic, and machine learning workloads.
  • Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services.
  • Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards.
  • Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities.
  • Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements.

Desired Qualifications

  • Familiarity with Elixir for building concurrent, fault-tolerant data services.
  • Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar.
  • Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse.

About the Company

Movable Ink

Platform for personalized, integrated marketing content

Movable Ink helps brands deliver personalized marketing content by connecting with existing marketing tech via an Integrations Exchange. It sells subscriptions to a platform that lets marketers create customized experiences across digital channels. The product works by integrating with widely used marketing tools, pulling audience data, and generating dynamic, personalized messages and visuals that are delivered through emails, webpages, or ads. What sets Movable Ink apart from competitors is its emphasis on seamless integrations with a broad set of marketing technologies and a library of ready-made templates and workshops that help teams accelerate value from their current tech stack. The company’s goal is to help marketers stand out in a crowded digital landscape by making it easy to craft engaging, personalized content at scale and to extract insights and trends via reports and workshops.

Company size
501-1,000
Company stage
Series D
Total funding
$97.3M
Headquarters
New York City, New York
Founded
2010

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