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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in solution architecture and technical leadership, with a strong focus on data engineering, automation, and AI solutions. Proficient in Python, SQL, and platforms like Snowflake and Databricks, while effectively mentoring teams and influencing cross-functional stakeholders.
Highest-signal resume keywords
Solution ArchitectureData EngineeringPython ProgrammingSnowflake ProficiencyTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentData EngineeringAutomationAnalytics EngineeringSQLData ModelingPerformance OptimizationETL/ELTAPIsCI/CD
Soft Skills
MentoringInfluencing StakeholdersDecision-MakingNavigating AmbiguityCoaching
Tools & Technologies
SnowflakeDatabricksPalantirAirflowDbtDatabricks Workflows
Industry Keywords
EnergyOil and GasInternal ApplicationsAI-Assisted DevelopmentInfrastructure-as-Code
Tech Stack
Tools & technologiesAirflowCloudETLPythonSQL
About the role
Key responsibilities & impact- Serve as technical lead and solutions architect for Corporate Land
- Translate complex business needs into scalable, supportable technical solutions
- Own solution architecture and end-to-end delivery for automation, data, analytics, and AI-enabled products
- Design and guide development of data pipelines, queries, applications, and analytical products using Snowflake, Databricks, Palantir, and related platforms
- Establish reusable engineering patterns, technical standards, and quality controls for code, testing, documentation, observability, security, and deployment
- Build and maintain a prioritized technical roadmap aligned with Corporate Land strategy and enterprise architecture
- Lead technical decision-making across complex or ambiguous initiatives
- Influence cross-functional stakeholders and partner with data, architecture, security, and business teams
- Mentor engineers, analysts, and business builders through design reviews, code reviews, coaching, and knowledge transfer
- Monitor solution performance, reliability, adoption, and cost; identify technical debt and lead continuous improvement
Requirements
What you’ll need- Bachelor's degree in Computer Science, Data Science, Engineering, Physics, or a related technical field, or equivalent relevant experience
- 10+ years of experience in software development, data engineering, automation, analytics engineering, or a closely related technical field
- Experience leading architecture and end-to-end delivery of complex, production-grade data, software, automation, or AI solutions
- Advanced proficiency in Python and SQL
- Advanced hands-on experience with Snowflake, Databricks, or Palantir, including data modeling and performance optimization
- Knowledge of data architecture, ETL/ELT, APIs, governance, security, CI/CD, observability, and software development lifecycle practices
- Experience setting technical direction, defining reusable standards, conducting design and code reviews, and mentoring technical contributors
- Ability to influence senior technical and business stakeholders, navigate ambiguity, and make sound decisions across competing priorities
- Must be legally authorized to work full-time in the United States for any employer other than your current employer
- Must not require sponsorship now or in the future for employment visa status
- Desirable: Experience in energy or oil and gas, internal applications, AI-assisted development, cloud platforms, infrastructure-as-code, Airflow, dbt, or Databricks Workflows
Benefits
Comp & perks- Medical, dental, and vision insurance
- Paid time off
- Discretionary annual bonus program
- Long-term incentive program
- 401(k) matching program
- Reasonable accommodations for individuals with disabilities
- Negligible travel should be expected
- Relocation assistance is not applicable
