Manager, Data Platform

About This Opportunity

We are representing a confidential B2B SaaS organization in their search for a Manager, Data Platform. This is a fully remote role open to candidates anywhere in the world.

Our client is building enterprise-scale data infrastructure that powers analytics, machine learning, and AI-enabled applications. You'll lead both the technical vision and a team of data platform engineers, working with a modern stack including Databricks, Snowflake, AWS, Spark, dbt, Fivetran, Airflow, and BigQuery.

This is a hybrid leadership role—you'll manage and mentor engineers while staying hands-on with architecture, technical direction, and critical platform initiatives.

Responsibilities

• Define and evolve the technical strategy and roadmap for the data platform
• Own architectural decisions across ingestion, transformation, orchestration, storage, serving, governance, and observability
• Establish engineering standards and patterns for pipelines, data contracts, infrastructure, and deployment
• Manage, mentor, and develop a team of data platform engineers
• Set clear expectations around technical execution, ownership, collaboration, and operational excellence
• Support career growth through regular feedback, coaching, and performance management
• Oversee development and maintenance of reliable, scalable data pipelines and workflows
• Establish service-level objectives, data quality standards, monitoring, alerting, and incident response practices
• Drive platform migrations and modernization efforts with incremental delivery and risk reduction
• Establish access controls, data protection mechanisms, and security practices for sensitive data
• Define and promote data contracts and clear ownership boundaries between systems
• Partner with application engineering, analytics engineering, data science, product, security, and infrastructure teams
• Translate stakeholder needs into clear technical requirements and prioritized initiatives
• Participate in hiring, onboarding, interviewing, and team capacity planning

What We're Looking For

Required Qualifications:

• 8+ years of experience in data engineering, data platforms, or data architecture
• 2+ years of experience managing, mentoring, or leading data engineering teams
• Demonstrated experience designing and operating production-grade data platforms and cloud architectures
• Strong experience with data orchestration, transformation frameworks, and pipeline development
• Strong understanding of data security, access controls, governance, and data contracts
• Proven ability to balance hands-on technical contribution with people leadership
• Excellent written and verbal communication skills

Preferred Qualifications:

• Experience with AWS services (Redshift, S3, IAM, EKS, Glue, ECR, DMS)
• Experience with Python, SQL, Airflow, dbt, and Infrastructure as Code (IaC)
• Experience supporting machine learning platforms, LLM/AI access, or production ML services
• Experience building or managing data contracts, semantic layers, or data interfaces

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your background and goals. If there's a strong match, we'll submit your candidacy to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our recruiting team to ensure the best candidate experience.

Pay

Compensation details will be discussed during the screening process based on your location, experience, and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.