Software Engineer, Data Platform

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Movable Ink

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📣 Marketing

✈️ Travel

🏨 Hospitality

💰 $55M Series D on 2022-04

Marketing • Travel • Hospitality

Movable Ink is a leader in personalized marketing, utilizing AI and automation to deliver tailored content to customers across various touchpoints, such as email and mobile. Their solutions, including the Movable Ink Studio and Da Vinci, empower retail, financial services, media organizations, and travel & hospitality sectors by transforming data into unique customer experiences in real-time. The company collaborates with a vast network of strategic partners, enhancing existing marketing technologies to achieve remarkable revenue and customer engagement. Movable Ink's expertise is endorsed by studies, such as the Forrester Consulting Total Economic Impact™ study, highlighting significant financial benefits for users. Through their innovative use of AI, Movable Ink drives next-level personalization and marketing performance.

📋 Description

• Design and deliver data ingestion pipelines and infrastructure • Migrate legacy data lifecycle management to the new platform without disrupting existing data consumers • Establish and maintain SLIs and SLOs with dashboards and alerting to track platform performance • Build flexible data storage supporting transactional, analytic, and machine learning workloads • Implement monitoring, observability, and incident response for event data pipelines and services • Collaborate with product engineering, analytics, and machine learning teams to define contracts, requirements, and standards • Design and implement a semantic metadata layer for data classification, discovery, exposure policies, and cross-product reuse • Architect and deliver a secure, multi-tenant data model supporting client data sharing and isolation • Report to the Engineering Manager, Data Platform

🎯 Requirements

• Ability to learn new technologies, frameworks, and problem domains • Product- and end-user-focused approach to solving broad problems • Deep understanding of data governance and data lifecycle management, including quality, lineage, retention, and access control • Production-scale experience with OLAP/OLTP databases and data warehouses such as Databricks, ClickHouse, or Redshift • Strong SQL skills, including query writing and optimization • Experience designing and operating data systems on AWS; GCP experience is a plus • Experience working in multi-cloud deployment environments • Proficiency with Docker and Kubernetes • Ability to integrate legacy platforms with modern architectures through interfaces and migration strategies • Ability to facilitate system design discussions and document architectural decisions • Familiarity with Elixir for concurrent, fault-tolerant data services (nice to have) • Experience with Airflow, Kafka, Apache Flink, or similar streaming technologies (nice to have) • Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse (nice to have) • Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation • Strong collaboration and communication skills; comfortable leading design discussions and writing technical specifications

🏖️ Benefits

• Additional bonus depending on the position ultimately offered • A full range of medical, financial, and/or other benefits