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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering scalable ETL/ELT pipelines and data platforms, with a strong focus on data quality, governance, and compliance in healthcare settings. Proficient in Python, SQL, and Snowflake, with a solid understanding of cloud services and data architecture best practices.
Highest-signal resume keywords
Python ProficiencySQL ExpertiseSnowflake ExperienceAWS Cloud ServicesData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL/ELT ArchitectureData ModelingQuery OptimizationCI/CD PracticesData Quality AssuranceDistributed Event SolutionsOrchestration TechnologiesInfrastructure as CodeDebugging PracticesData Observability
Soft Skills
Technical LeadershipMentoringEffective CommunicationProblem-SolvingCross-Team Collaboration
Tools & Technologies
SnowflakeAWS S3AWS LambdaAWS GlueAWS KinesisAirflowDockerKubernetesTerraformCloudFormation
Industry Keywords
HealthcareHealthTechData GovernanceData SecurityCompliance RequirementsGenerative AIMachine LearningData CatalogsMetadata ManagementData Product Governance
Tech Stack
Tools & technologiesAirflowAWSCloudDockerETLKafkaKubernetesPythonSnowflakeSQLTerraform
About the role
Key responsibilities & impact- Lead the architecture and hands-on delivery of scalable batch and near-real-time ETL/ELT pipelines and data platform services
- Define integration patterns for databases, APIs, applications, CDC/event streams, and external sources across the enterprise data platform
- Design reusable, governed data models, curated data products, and semantic-ready datasets for analytics, reporting, AI/ML, and operational applications
- Solve complex transformation and processing challenges using Python, SQL, Snowflake, and distributed data technologies
- Drive architectural decisions for scalability, availability, resiliency, performance, maintainability, and cost efficiency
- Define reusable frameworks, libraries, reference architectures, and engineering patterns across data engineering teams
- Advance automated testing, CI/CD, Infrastructure as Code, and DataOps standards
- Establish observability, data freshness, service-level objectives, alerting, and automated recovery for critical data pipelines
- Lead resolution of high-impact production issues and cross-system root-cause analysis
- Improve Snowflake and cloud compute efficiency, query performance, storage, and platform operating costs
- Set technical standards for data quality, validation, lineage, reconciliation, and trusted data delivery
- Partner with Data Architecture, Governance, and Security teams on discoverable, governed, reusable data assets and access patterns
- Design healthcare data solutions with privacy, security, and compliance requirements embedded from the outset
- Serve as technical authority for design reviews, architecture decisions, code quality, and engineering best practices
- Mentor Senior and other Data Engineers through design guidance, pairing, code reviews, and knowledge sharing
- Partner with Data Scientists and Machine Learning Engineers on feature pipelines, ML-ready datasets, and governed data access for Generative AI and agentic applications
- Translate ambiguous product and business needs into architecture, phased delivery plans, and measurable technical outcomes
- Communicate architectural decisions, tradeoffs, risks, and operational practices to technical and non-technical stakeholders
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field
- 8+ years of experience building and operating production-grade data platforms
- Demonstrated ownership of complex systems or cross-team technical initiatives
- Expert proficiency in Python and SQL
- Strong software design, testing, debugging, and code review practices
- Deep hands-on experience with Snowflake, including data modeling, query optimization, performance, and cost management
- Experience architecting CDC, Kafka, Flink, or comparable distributed event and streaming solutions
- Strong experience with AWS, including S3, Lambda, Glue, Kinesis, or equivalent cloud services
- Experience designing high-volume batch and near-real-time ETL/ELT architectures and reusable analytical data models
- Experience with orchestration technologies such as Airflow or equivalent platforms
- Experience establishing CI/CD, Git-based workflows, automated testing, and Infrastructure as Code practices
- Strong command of data quality, governance, security, observability, production operations, and reliability engineering
- Ability to lead technical decisions across teams, mentor engineers, and communicate tradeoffs effectively
- Hands-on, full-stack mindset and willingness to own complex problems end-to-end
- Preferred: Experience with dbt and dimensional modeling or semantic-layer design
- Preferred: Experience using AI-assisted development tools responsibly
- Preferred: Experience supporting Machine Learning, Generative AI, feature engineering, and AI-ready data access patterns
- Preferred: Experience with Docker, Kubernetes, Terraform, or CloudFormation
- Preferred: Experience with metadata management, data catalogs, lineage, data observability, and data product governance
- Preferred: Experience in Healthcare, HealthTech, SaaS, or other regulated industries
Benefits
Comp & perks- Medical, Dental/Orthodontia, and Vision coverage starting first day of employment
- Synthetic ownership eligibility after one year of employment, with financial rewards based on company success
- Employee Assistance Program including counseling, legal resolution, financial education, pet adoption assistance, and identity theft and fraud resolution
- Flexible work scheduling
- Generous paid time off (PTO), increasing with milestones
- Career development and learning programs
- Team-building events, family company picnic, and holiday party
- Quarterly bonuses
- 401(k) retirement plan with employer match
- Opportunity to work remotely or in an office