Manager, Data Engineering - Business Intelligence

Yesterday

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $220k - $235k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Apply Now

Receive Emails with Similar Jobs

Movable Ink

WebsiteLinkedInAll Job Openings

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.

Contextual Marketing • Email Marketing • Dynamic Email Content • Personalization • Digital Marketing

501 - 1000 employees

🤝 B2B

☁️ SaaS

🥽 AR/VR

💰 $55M Series D on 2022-04

📋 Description

• Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. • We are seeking an experienced Data Engineering Manager, Business Intelligence to lead our team in designing and implementing star schema data models. • Own the data architecture, champion data governance and quality, and drive the adoption of OpenMetadata as our Data Catalog. • Mentor and develop engineers while transforming complex business data into scalable, high-performing data products. • Blend technical leadership with deep stakeholder collaboration, shaping how teams leverage data for strategic decision-making.

🎯 Requirements

• 6+ years of data engineering experience, including 2+ years in dimensional modeling and star schema design. • 2+ years managing and mentoring data engineering teams, balancing leadership with hands-on contributions. • Expert-level SQL skills, with deep experience in Amazon Redshift, Snowflake, or similar columnar databases. • Strong experience with Apache Airflow for data pipeline orchestration, including scheduling, dependency management, and DAG optimization. • Hands-on experience with ETL/ELT development, transforming raw data into structured, analysis-ready datasets using Python, dbt or other transformation frameworks. • Proven ability to design high-performance data models, including slowly changing dimensions (SCD), fact tables, and surrogate keys for historical point-in-time analytics. • Experience implementing and managing a Data Catalog (OpenMetadata preferred) for governance and discoverability. • Hands-on expertise in data quality testing, monitoring, and anomaly detection frameworks. • Proficiency in Tableau (or similar BI tools) to optimize reporting performance and self-service analytics. • Strong ability to translate business needs into scalable, reliable data solutions for internal stakeholders and product insights. • Excellent communication and stakeholder collaboration skills, ensuring alignment across engineering, analytics, and business teams.

🏖️ Benefits

• Stock options and other incentive pay may be provided as part of the compensation package. • Full range of medical, financial, and/or other benefits, depending on the position ultimately offered.