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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in enterprise data architecture, AI/ML solutions, and technical consulting, with a strong focus on translating business challenges into scalable technical solutions. Proven ability to engage with stakeholders at all levels and deliver high-impact outcomes through effective communication and collaboration.
Highest-signal resume keywords
Enterprise Data ExperienceAI/ML Solutions EngineeringData Architecture ProficiencyAdvanced SQL and Python SkillsStakeholder Management
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 ModelingScalable AI SolutionsContext ModelingData TransformationOrchestrationAutomationGenerative AI UnderstandingPrompt EngineeringRAG (Retrieval-Augmented Generation)Performance Optimization
Soft Skills
Excellent CommunicationStakeholder EngagementHigh Ownership Mindset
Tools & Technologies
Modern Analytics PlatformsCloud Data PlatformsSemantic LayersMetadata Layers
Industry Keywords
Technical ConsultingPre-Sales EngagementPost-Sales EngagementData GovernanceSecurityAccess Controls
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Partner with Sales to lead technical discovery, customer workshops, solution architecture, POCs, and evaluations
- Translate business challenges into high-value use cases and technical wins
- Lead technical execution from deal closure through initial production deployment
- Handle data onboarding, context modeling, validation, user enablement, and structured handoff
- Design and build scalable context and semantic models, agentic workflows, and integrations across complex enterprise data environments
- Work with customer data, IT, and security teams to address integration, performance, governance, security, and scalability requirements
- Build context models, certified demos, solution patterns, and deployment playbooks
- Partner with Product and Engineering to translate customer requirements, technical gaps, and field learnings into scalable platform capabilities
- Serve as a trusted technical advisor to customer architects, data leaders, and executive stakeholders
Requirements
What you’ll need- 10+ years of experience in enterprise data, AI/ML, solutions engineering, or technical consulting, with a focus on business impact
- Bachelor’s or Master’s in Engineering, Data, or a related field, or equivalent experience
- Experience working across both customer-facing pre-sales and post-sales engagements
- Strong technical foundation in data architectures, data modeling, and scalable AI/analytics solutions
- Excellent communication and stakeholder management skills, with the ability to engage technical and executive audiences and translate technology into business value
- High ownership mindset with a focus on real outcomes
- Hands-on experience with modern analytics and cloud data platforms, including semantic and metadata layers
- Advanced SQL and strong Python proficiency for data transformation, orchestration, and automation
- Understanding of Generative AI, including prompt engineering, RAG (Retrieval-Augmented Generation), and evaluation sets
- Familiarity with data governance, security, access controls, and performance optimization in enterprise environments
- Willingness to work on-site in the Bay Area or Bangalore, or willingness to relocate
- US applicants must address whether employer sponsorship is required to work legally in the United States
Benefits
Comp & perks- High autonomy in a flat organization where your work directly impacts the product roadmap and overall company success
- Opportunity to work with a world-class engineering team from successful technology companies
- Work at the cutting edge of Generative AI and Enterprise Data