Movable Ink

Movable Ink

Senior Engineer, Data Platform

Movable Ink - Toronto (Remote) · Senior

Sponsorship not specified$145k-$185kDetected 68 days ago
ElixirBackend DevelopmentSQLRedshiftDatabricksAWSGCPDockerKubernetesTerraformKafkaMachine LearningAirflowData EngineeringIncident ResponseCommunicationCollaboration

About the role

  • Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning.
  • The world's most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility.
  • Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

Responsibilities

  • Support the design and delivery of data ingestion pipeline and infrastructure
  • Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
  • Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
  • 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
  • As a Senior Engineer on the Data Platform team at Movable Ink, you will help design and build the systems that power how data flows through the organization.
  • You will play a key role in developing and operating the unified data platform responsible for ingesting, processing, and exposing large volumes of data that drive Movable Ink's products.
  • Working closely with teammates across engineering, analytics, and infrastructure, you will build scalable ingestion pipelines and backend services that integrate data from a variety of sources while ensuring reliability, governance, and high availability across the platform.
  • You will help evolve legacy pipelines toward modern data architectures, and help drive the unification of our products and services in how they access data.

Requirements

  • OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
  • 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
  • Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
  • 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 (Databricks, Clickhouse, Redshift, etc) at production scale
  • Strong familiarity with SQL with the ability to write and optimize queries
  • Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
  • Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
  • Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
  • (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
  • Experience designing and operating data systems on AWS; GCP experience is a plus
  • Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries

Nice to have

  • (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
  • (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
  • Experience designing and operating data systems on AWS
  • GCP experience is a plus

Compensation

  • The base pay range for this position is $145,000-$185,000/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits.

Benefits

  • Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
  • Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards

Visa & Work Authorization

  • y or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, polit
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This listing is sourced directly from Movable Ink's careers page and normalized into a canonical job model.