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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading and mentoring Data Engineering teams while maintaining hands-on involvement in developing scalable data pipelines and architectures. Proficient in translating business requirements into effective technical solutions and establishing engineering standards for data quality and performance.
Highest-signal resume keywords
Data Pipeline DevelopmentAdvanced SQL SkillsPython ProgrammingCloud Data PlatformsData Architecture Expertise
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 EngineeringETL ProcessesData WarehousingData ModelingData Quality PracticesOrchestration FrameworksInfrastructure-as-CodeCI/CD PracticesKafkaSpark
Soft Skills
Team LeadershipStakeholder ManagementCommunication SkillsBusiness Acumen
Tools & Technologies
AWSAzureGoogle Cloud PlatformAirflowDbt
Certifications & Qualifications
Bachelor's Degree in Computer ScienceData Engineering
Industry Keywords
Data Engineering FunctionTechnical DirectionPerformance StandardsAutomationMonitoring
Tech Stack
Tools & technologiesAirflowAWSAzureCloudETLGoogle Cloud PlatformJavaKafkaPythonScalaSparkSQL
About the role
Key responsibilities & impact- Lead, mentor, and develop the Data Engineering team
- Establish expectations for performance, quality, and ownership
- Manage team priorities, workload, and delivery in alignment with business objectives
- Provide technical guidance and oversight for architecture, design, and production readiness
- Serve as an escalation point for complex technical, data quality, and delivery challenges
- Design, build, and maintain scalable data pipelines, integrations, warehouses, and supporting infrastructure
- Establish engineering standards for data architecture, modeling, reliability, performance, and maintainability
- Remain hands-on in development and resolution of complex or business-critical technical issues
- Improve automation, tooling, monitoring, and engineering practices
- Establish technical direction and priorities for Data Engineering
- Partner with Finance and other stakeholders to translate data needs into effective solutions
- Evaluate technologies, processes, and architectural approaches
- Communicate technical strategy, risks, recommendations, and infrastructure needs to leadership
- Support team and organizational objectives and perform assigned duties and special projects
Requirements
What you’ll need- 7+ years of related data engineering experience
- 2+ years leading, supervising, or providing technical direction to others
- Bachelor's degree in Computer Science, Data Engineering, a related discipline, equivalent technical training, or equivalent professional experience
- Strong experience designing, building, and maintaining data pipelines, ETL/ELT processes, data warehouses, and related infrastructure
- Advanced SQL skills
- Strong programming experience with Python, Java, Scala, or a comparable language
- Strong understanding of data architecture, modeling, scalability, performance, reliability, and data quality practices
- Experience with modern cloud data platforms, orchestration frameworks, and data processing technologies
- Ability to remain hands-on technically while leading and developing a team
- Strong business acumen and ability to translate business requirements into practical technical solutions
- Strong communication and stakeholder management skills across technical and non-technical audiences
- Preferred: Experience with AWS, Azure, or Google Cloud Platform
- Preferred: Experience with Airflow, dbt, or similar orchestration and transformation technologies
- Preferred: Experience with Kafka or Spark
- Preferred: Experience with infrastructure-as-code and CI/CD practices for data environments
- Preferred: Experience building, scaling, or maturing a Data Engineering function
Benefits
Comp & perks- Works from home option
- Traditional climate-controlled office environment
- Reasonable accommodations for individuals with disabilities
- At-will employment