FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Solutions Architecture and Data Engineering, with a strong focus on delivering enterprise Data & AI solutions in cloud environments. Proficient in leveraging modern AI technologies to enhance software delivery and client outcomes while guiding engineering teams and mentoring technical talent.
Highest-signal resume keywords
Solutions ArchitectureData EngineeringEnterprise Data & AI SolutionsCloud EnvironmentsAI Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLJavaScalaSparkKafkaAirflowDbtFivetranMatillion
Soft Skills
ConsultingTechnical DiscoveryClient EngagementMentoringCoaching
Tools & Technologies
SnowflakeDatabricksGoogle BigQueryAWSMicrosoft AzureGoogle Cloud PlatformCI/CDInfrastructure as CodeObservabilityMonitoring
Industry Keywords
AI AdoptionArchitecture DiagramsDesign DocumentationImplementation PlansTechnical Standards
Tech Stack
Tools & technologiesAirflowAWSAzureBigQueryCloudGoogle Cloud PlatformJavaKafkaMatillionPythonScalaSparkSQL
About the role
Key responsibilities & impact- Lead discovery sessions to uncover business goals, technical requirements, and solution constraints
- Translate complex client challenges into scalable, production-ready Data & AI architectures
- Serve as the primary technical advisor throughout client engagements
- Recommend architecture, tooling, implementation approaches, and technical trade-offs
- Develop architecture diagrams, design documentation, implementation plans, and technical standards
- Lead successful delivery of enterprise Data & AI solutions from architecture through production deployment
- Guide engineering teams through implementation and remove delivery blockers
- Leverage AI across software delivery to improve design, productivity, documentation, testing, troubleshooting, and client outcomes
- Guide clients on practical AI adoption
- Mentor engineers through architectural guidance, technical coaching, and design reviews
- Contribute to hiring, onboarding, and technical enablement
Requirements
What you’ll need- 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles
- Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments
- Demonstrated experience delivering with AI and leveraging modern AI technologies throughout the software delivery lifecycle
- Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements
- Hands-on experience with many of: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform
- Hands-on experience with Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies
- Experience with CI/CD, Infrastructure as Code, observability, and monitoring
- Experience incorporating AI using technologies such as Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar platforms and frameworks
- Comfortable operating in distributed, global teams and partnering across time zones
Benefits
Comp & perks- Remote-First Work Environment
- 401k plan with company match
- Dental and Vision insurance
- Home Office Equipment Stipend
- Annual stipend for Learning and Development
- Competitive comp
- Excellent benefits
- 4 weeks PTO plan
- 10 Holidays
- Access to challenging projects, mentorship, and structured development pathways
- Supportive, high-performing global team
- Impactful work on meaningful data & AI initiatives