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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software engineering with a focus on data engineering and platform integration, leveraging strong skills in Python and SQL. Proven ability to lead technical teams, mentor engineers, and manage cloud infrastructure deployments while ensuring compliance and risk reduction.
Highest-signal resume keywords
Technical LeadershipPython ProficiencyAWS ExperienceData Engineering ExpertiseAPI Design and Implementation
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 EngineeringData EngineeringSQLAPI DesignIntegration ArchitectureInfrastructure-as-CodeETL/ELT PipelinesCloud ServicesAnalytics AuditingData Quality Monitoring
Soft Skills
MentoringWritten CommunicationCollaborationRisk ManagementProblem Solving
Tools & Technologies
AWSTerraformDbtSnowflakeApache IcebergAirflowMLflowCloud InfrastructureCoding AgentsData Pipelines
Industry Keywords
IntegrationPlatform EngineeringData FlowsShared Data ContractsObservabilityConfiguration ManagementLoggingBusiness ValueCompliance ConsiderationsDistributed Teams
Tech Stack
Tools & technologiesAirflowApacheAWSCloudETLJavaPythonSparkSQLTerraform
About the role
Key responsibilities & impact- Set technical direction for a small team of platform engineers
- Translate requirements and architecture guidance into well-scoped, sequenced work
- Mentor engineers through pairing, code review, and design feedback
- Coordinate delivery across contributors and surface risks and dependencies
- Contribute hands-on to complex integration and platform work
- Audit analytics applications, technology choices, data flows, and integration points
- Design and implement APIs, event streams, and shared data contracts
- Build and maintain shared platform services for authentication, observability, configuration management, and logging
- Understand existing data pipelines, sources, transformation logic, and dependencies
- Partner with domain teams as an integration architect and collaborator
- Deploy and manage platform services on cloud infrastructure
- Contribute to infrastructure-as-code practices using Terraform or CDK
- Collaborate with IT platform teams on deployment pipelines and reliability standards
- Construct business cases for cloud feature adoption using business value, risk reduction, and compliance considerations
Requirements
What you’ll need- 7+ years of software engineering experience
- At least 3 years focused on data engineering, integration, platform, or infrastructure work
- 2+ years in a technical lead role
- Proficiency in Python
- Strong SQL skills, including working with large or complex datasets
- Hands-on experience with AWS, including compute, storage, and at least one managed data service
- Experience with AI-assisted development tools or coding agents in a professional context
- Ability to learn unfamiliar systems quickly
- Strong written communication skills
- Preferred: experience with dbt and Snowflake
- Preferred: experience with Apache Iceberg
- Preferred: additional language proficiency, especially Spark or Java
- Preferred: experience leading or coordinating engineering work across distributed or multi-location teams
- Preferred: experience with ETL/ELT data pipelines, schema management, or data quality monitoring
- Preferred: exposure to structured and semi-structured data at scale
- Preferred: familiarity with Airflow, MLflow, or SaaS equivalents
Benefits
Comp & perks- Annual incentive compensation program
- Medical coverage
- Dental coverage
- Vision coverage
- Wellness programs