VP, AI Infrastructure
Sagent
AWSAzureCloudCyber SecurityDockerGoogle Cloud PlatformKubernetes
Senior Director, Data Engineering – AWS
phData
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesOpen SourcePythonSQLTerraform
About the role
- Design and deploy scalable SageMaker domains and implement VPC, IAM, encryption, and compliance best practices (SOC2, HIPAA)
- Integrate SSO and AWS Identity Center; manage RBAC, multi-account permissions, and access policies for SageMaker and DataZone
- Enable CloudWatch logging, compliance monitoring, audit trails, and automate multi-domain SageMaker deployments using Terraform or alternatives
- Lead data migration from Lake Formation to DataZone; align architecture to a federated data mesh and enforce governance workflows for cross-domain sharing
- Conduct load testing, define service limits, and implement cost and performance optimization strategies for SageMaker Unified and DataZone
- Serve as executive-level technical leader and primary advisor for strategic customer accounts; act as CTO for accounts, guiding technology decisions and roadmaps
- Build deep relationships with technical and business stakeholders; lead QBRs, Innovation Days, roadmap and architectural vision sessions
- Collaborate with Account Executives on growth strategies; identify opportunities, lead scoping, pricing, and proposal development to expand services
- Own delivery success and overall satisfaction across assigned accounts; provide architectural oversight, escalation management, and ensure delivery quality
- Mentor technical consultants and engineers; build technical documentation, enablement materials, and share scalable delivery patterns
- Lead client resource planning, forecasting, KPI tracking, and collaborate with partner technology teams and internal leadership
Requirements
- 10+ years of hands-on experience delivering complex data or AI/ML platforms in production environments
- 3+ years in a consulting leadership role with direct client ownership and revenue accountability
- Deep technical expertise in cloud platforms (Snowflake, AWS, Azure, GCP), modern data stacks, and MLOps tools
- Proven success growing enterprise accounts and building executive-level relationships
- Strong architectural and implementation skills in Python, SQL, dbt, and modern infrastructure tooling
- Excellent communication and negotiation skills with a strong sense of presence and clarity under pressure
- Willingness to travel for customer meetings, QBRs, and key events when necessary
- Preferred: Advanced degree in a technical, data, or business-related discipline
- Preferred: Experience leading delivery within a scaled services or consulting firm
- Preferred: Proficiency in partner ecosystem collaboration (especially Snowflake, AWS, dbt)
- Preferred: Hands-on experience with containerization (Docker, Kubernetes) and cloud-native AI/ML tools
- Preferred: Demonstrated thought leadership (e.g., blogs, speaking, open source)
Benefits
- Remote-First Work Environment
- Casual, award-winning small-business work environment
- Collaborative culture that prizes autonomy, creativity, and transparency
- Competitive comp, excellent benefits
- 4 weeks PTO plan plus 10 Holidays
- Accelerated learning and professional development through advanced training and certifications
- Other cool perks
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SageMakerVPCIAMencryptionTerraformPythonSQLdbtDockerKubernetes
Soft skills
communicationnegotiationleadershiprelationship buildingmentoringstrategic thinkingproblem solvingclient ownershipdelivery successclarity under pressure
Certifications
advanced degree in technical disciplineadvanced degree in data disciplineadvanced degree in business-related discipline
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