Build, lead, mentor, and inspire a high-performing, globally distributed data platform team
Define and execute the technical strategy and roadmap for the enterprise data platform, overseeing the end-to-end development lifecycle from architecture to deployment and operations
Manage hiring, performance, career development, and resource allocation to ensure the team delivers its commitments with excellence
Champion agile methodologies, a DevOps mindset, and a culture of operational excellence, defining and monitoring SLOs for all platform services
Partner with the central Data Governance team to implement technical solutions that enforce data policies, standards, and compliance requirements across the platform
Develop the scalable, foundational data services and self-service tools that empower Data Science and Analytics teams to work efficiently
Partner closely with key stakeholders in Data Science, Analytics, Product Management, and Application Engineering to understand their needs and ensure the data platform meets their requirements.

Requirements

Bachelor’s degree in computer science, Engineering, or a related technical field
10+ years of hands-on experience in data engineering, software engineering, or related fields
5+ years of formal experience in a people management role, leading and mentoring engineering teams
Proven experience designing, building, and operating large-scale, cloud-native data platforms (AWS, GCP, or Azure)
Expert-level knowledge of modern data architecture patterns and big data technologies (e.g., Spark, Kafka, Flink, Airflow)
Deep experience with modern unified data platforms like Databricks, and cloud data warehouses (e.g., Snowflake, Big Query, Redshift), with a strong understanding of Lakehouse architecture
Strong programming skills in at least one language, such as Python, Scala, or Java.

Benefits

401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringsoftware engineeringcloud-native data platformsdata architecture patternsbig data technologiesprogramming in Pythonprogramming in Scalaprogramming in Javadata servicesself-service tools

Soft Skills

leadershipmentoringteam managementcommunicationcollaborationagile methodologiesDevOps mindsetoperational excellenceperformance managementresource allocation