Software Engineer, Data Platform
- Salary
- $130,000 - $165,000 /year
- Level
- Mid
- Work type
- Remote
Not stated in the posting: visa.
Open. First seen 22 October 2026.
About the role
Movable Ink's standard text
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.
Movable Ink's standard text
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 inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.
We welcome and employ people regardless of race, color, gender identity 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, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.
What this role asks for
Particular to this role
Airflow · Redshift
Rare in Movable Ink's other 14 open postings.
Standard for data engineering roles
AWS · Data Warehousing · SQL
Common in data engineering postings at any company.
In most of Movable Ink's ads
GCP
Named in most of its open postings, whatever the role.
83% of this description is written for the role. The rest is Movable Ink's standard text, folded away below.
Compared with Movable Ink's other open jobs.
The team: Engineering HIRES STEADILY
This role is one of 12 open in Engineering. 1 was posted in the last 30 days and the oldest in April: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
GCP (10 of 12), Kafka (8 of 12), Python (8 of 12), AWS (7 of 12), Elixir (6 of 12), CloudFormation (5 of 12), Flink (5 of 12)
OTHER ROLES ON THIS TEAM
- Backend Engineer posted Sep 30
- Data Engineer posted Sep 14
- Data Engineer, Event Data posted Aug 13
- Senior Full Stack Engineer, Designer Team posted Aug 8
- Senior Machine Learning Engineer posted Aug 6
- Senior Data Engineer, AI Systems posted Aug 4
- Lead Backend Developer (Remote) posted Jul 22
- Senior Data Engineer, AI Systems posted Jun 5
- Senior Data Engineer, Event Data posted Apr 15
- Senior Engineer, Data Platform posted Apr 8
- Senior Backend Developer, Behavioural Team posted Apr 8
From the team and dates on Movable Ink's own job board.
See Software Engineer salaries in Remote →
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