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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data platform architecture and engineering, with a focus on event-driven systems and agentic AI frameworks. Capable of translating complex business requirements into effective data architectures while ensuring compliance and security.
Highest-signal resume keywords
Data Platform ArchitectureEvent-Driven Architecture DesignPython ProficiencySQL ProficiencyAWS Data Platform Services
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringSystem DesignData OrchestrationData ModelingQuerying Best PracticesArchitectural StandardsAI WorkflowsLLM IntegrationSecurity GuardrailsTechnical Strategy
Soft Skills
CommunicationCollaborationLeadership
Industry Keywords
Agentic AIComplianceData Leakage PreventionMulti-Tenant EnvironmentsInfosecSRE
Tech Stack
Tools & technologiesAWSPySparkPythonSQL
About the role
Key responsibilities & impact- Serve as a technical lead and architectural pillar for the global data platform team
- Partner with engineering management and stakeholders to define the long-term architecture of the event-driven platform
- Establish agentic AI frameworks and guide the team's technical direction
- Partner with the Principal Data Engineering Manager to design and plan core platform architecture, selecting tools, technologies, and system patterns
- Design systems and security guardrails for agentic experiences while preventing data leakage across multi-tenant environments
- Formulate data orchestration and modeling strategies, enforcing querying best practices and architectural standards
- Work with Infosec, SRE, and executive leadership to align platform initiatives with compliance, security, and business goals
- Guide Senior Engineers on complex design patterns, code quality, and adoption of modern data platform tools
Requirements
What you’ll need- ~5+ years of experience in data platform architecture and data engineering, with a track record of driving technical strategy and system design
- Expert proficiency in Python, SQL, PySpark, and AWS data platform services
- Deep background in designing event-driven architectures operating at scale (thousands of events/sec)
- Practical knowledge or strong domain exposure to agentic AI workflows, LLM integration, and AI safety guardrails
- Proven ability to translate complex business needs into data architecture and communicate technical roadmaps clearly to non-technical stakeholders
- Resume must be submitted in English
- Applicant assessment and background check may be part of the hiring procedure
Benefits
Comp & perks- Company-wide bonuses based on monthly sales targets
- Employee referral bonuses
- Adoption assistance
- Tuition reimbursement
- Certification reimbursement
- Certification completion bonuses
- Modern, high-tech, and fun work environment