Data Integration Manager

Revinate

full-time

Posted on: 9/22/2025

Origin: • 🇺🇸 United States

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💰 $170,000 - $180,000 per year

SeniorLead

ApacheAWSAzureCloudDockerETLGoogle Cloud PlatformHadoopJavaKafkaKubernetesMySQLPostgresScalaSparkSQL

About the role

Manage, mentor, and grow a team of data integration engineers; foster a culture of technical excellence, continuous improvement, and ownership.
Set the strategic direction for data integration efforts and develop/manage the team's roadmap.
Provide technical guidance and oversight for design, development, and maintenance of data integration solutions; ensure robustness and scalability.
Establish and enforce data quality control measures and develop proactive monitoring and alerting systems.
Serve as the primary point of contact for integrations; collaborate with product management, engineering, customer success, and senior management.
Implement and refine processes for CI/CD, change management, and incident response for data pipelines; improve support protocols with partners.
Work with data architects to define data models, schemas, and integration patterns for long-term scalability of the CDP and other data platforms.
Evaluate and recommend emerging data integration technologies and tools, including AI capabilities to streamline onboarding.
Act as a hands-on leader conducting technical research, POCs, and code merges to guide and manage teams.

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field.
7+ years of professional experience in software engineering, with at least 3 years in a leadership or management role in data integration space.
Hands-on leadership experience managing a team of < 10 and experience working with business stakeholders like Customer Success and Partner implementation teams.
Proficient in integration technologies like APIs, SFTP, Cloud-Cloud data integration, file transfers, streaming transfers, Kafka etc.
Solid understanding of data formats (JSON, XML), and data transformation best practices.
Deep programming skills in Java/Scala.
Experience in writing SQL queries and extensive experience with relational databases (e.g., MySQL, Postgres).
Exposure to ETL/ELT pipelines using frameworks like Apache Spark or other enterprise-level tools.
Proven experience working with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
Excellent problem-solving, communication, and interpersonal skills.
Bonus: Experience designing and building large-scale systems; big data technologies (Hadoop, Kafka); Snowflake/Databricks; Docker/Kubernetes; hospitality or travel technology experience.