Data Platform Engineer: Ingest & Governance

movableink

New York (NY)

On-site

CAD 130,000 - 165,000

Full time

10 days ago

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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, 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

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