Software Engineer, Data Platform

movableink; New York (NY); On-site; CAD 130,000 - 165,000; Full time

Job summary

Movable Ink, a leader in data-driven marketing content, seeks an Engineer for the Data Platform team. The role focuses on designing and building systems to ingest, process, and expose large data volumes that power Movable Ink's products, with a strong emphasis on reliability, governance, and scalable architectures.

You will work with data engineering, analytics, and infrastructure to unify data access across products, evolve legacy pipelines, and drive secure data sharing with

Qualifications

• Ability to learn new technologies and problem domains.
• Focus on solving big picture problems with the end user in mind.
• Strong understanding of data governance and data lifecycle management.
• Experience with OLAP/OLTP and data warehouse tech on production scale.

Responsibilities

• Design and deliver data ingestion pipelines and infrastructure.
• Migrate legacy data lifecycle management to the new platform without disruption.
• Establish SLIs/SLOs with dashboards and alerts for data performance.
• Build a multi-tenant data model for secure data sharing across clients.
• Collaborate with product, analytics, and ML teams to define contracts and standards.
• Develop semantic metadata layer for data asset classification and policy exposure.

Skills

Learn new technologies

Data governance

SQL proficiency

Cloud (AWS/GCP)

Docker/Kubernetes

Multi-cloud

Communication

Migration strategies

Tools

Databricks

ClickHouse

Redshift

Airflow

Kafka

Apache Flink

Job description

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.

As an 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. Your work will directly impact the growth and maturity of Movable Ink's products and services.

The role will be reporting to Engineering Manager, Data Platform

Responsibilities:

• Support the design and delivery of data ingestion pipeline and infrastructure
• Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
• Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
• Build flexible data storage layer supporting a variety of use cases, e.g., 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

Qualifications:

• A proven ability to learn new technologies, frameworks, and problem domains
• A focus on solving big picture problems with a focus on product and the end user
• 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.
• 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 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
• (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
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar

The base pay range for this position is $130,000-$165,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclu