Data Engineering Manager, Movable Ink
Business Intelligence
$220-235k
Stock options and other incentive pay may be provided as part of the compensation package
Marketing content contextualisation platform
Open for applications
Marketing content contextualisation platform
501-1000 employees
Open for applications
$220-235k
Stock options and other incentive pay may be provided as part of the compensation package
501-1000 employees
Company mission
To revolutionize customer-centricity and the individualized marketing messages brands need to truly put their customers first.
Role
Who you are
- 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
What the job involves
- We're seeking an experienced Data Engineering Manager, Business Intelligence to lead our high-impact team in designing and implementing star schema data models that serve both internal business intelligence needs and client-facing product insights
- In this role, you’ll own the data architecture, champion data governance and quality, and drive the adoption of OpenMetadata as our Data Catalog, ensuring data is well-documented, discoverable, and trusted
- You’ll mentor and develop engineers while working hands-on to transform complex business data into scalable, high-performing data products. This position blends technical leadership with deep stakeholder collaboration, shaping how both internal teams and customers leverage data for strategic decision-making
- Design and implement star schema data models across business domains and product analytics, ensuring dimensional modeling best practices
- Manage a team of data engineers, including hiring, mentoring, and professional development in a collaborative, high-performing culture
- Build ETL/ELT pipelines using Airflow that reliably populate fact and dimension tables in our Redshift environment
- Partner with product teams and business stakeholders to translate reporting requirements into effective data models that serve both internal analytics and customer-facing features
- Optimize data model performance for quick query response times in Tableau dashboards and product reporting interfaces
- Reduce time to insights by optimizing data pipelines, transformation logic, and data delivery processes, ensuring stakeholders and product teams have fast, reliable access to actionable data
- Develop data transformations that enable accurate historical reporting while supporting intra-day data updates for real-time insights. Implement robust data lineage tracking to ensure transparency, traceability, and trust in data workflows, enabling stakeholders to understand the origin, transformations, and dependencies of key business metrics
- Implement automated data quality checks, anomaly detection, and reporting to ensure stakeholders and customers trust and rely on our datasets
Our take
Movable Ink pioneered the technology behind contextual email marketing back in 2010, where customer context is assessed using millions of data points, generating a personal 1:1 creative the moment they open an email.
Recognising the potential of how their technology could create unique experiences for consumers, Movable Ink created their Visual Experience Platform, allowing them to create a personal experience on web and display as well as email.
Movable Ink’s visual experience platform effectively eliminates the production bottleneck that prevents brands from personalizing visual content at scale, meaning companies of all sizes can boost their engagement by offering a more personal service. This has been proven to boost customer engagement, loyalty, and revenue. Digital marketing is bigger now than ever, which has unicorn Movable Ink well set to see continued growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Apr 2022
$55m
SERIES D
Aug 2020
$30m
SERIES C
Total funding: $97.3m
Company benefits
- Generous PTO
- Global Mental Health and Well-Being Benefits
- Flexible/WFH Opportunities
- Comprehensive Health Benefits (Medical/Dental/Vision)
- Employee Resource Groups
- Inclusive Parental Leave and Support Programs
- Volunteer Opportunities
- Equity
- Social Events and Activities
- 401K Contribution
Company HQ
Theater District, New York, NY
Leadership
Vivek Sharma
(CEO)Started their career as a software engineer before founding MetroSpark, one of the first ever mobile social networks in the US.
Michael Nutt
(CTO)Prior to co-founding Movable Ink, held senior software development positions at Gilt Groupe and Limewire.
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