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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in designing, operating, and evolving production data platforms and modern data warehouse architectures, with strong technical leadership in data quality, automated testing, and ingestion processes. Proficient in managing complex data ecosystems using tools like dbt, Apache Airflow, and Amazon Redshift.
Highest-signal resume keywords
Dbt Project ManagementApache Airflow DAG DesignAmazon Redshift OptimizationPython Data EngineeringTerraform Infrastructure Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
DbtApache AirflowAmazon RedshiftSQLPythonData Warehouse ModelingData Quality AssuranceAutomated TestingIngestion ProcessesTerraform
Soft Skills
Technical LeadershipDocumentation SkillsCommunication SkillsDecision-Making SkillsOwnership
Tools & Technologies
AWSRedshift ServerlessAWS Managed Workflows for Apache Airflow (MWAA)Data Ecosystem Management
Industry Keywords
Production Data PlatformsData Warehouse ArchitecturesConsumption-Based Cost ManagementRegulated Data EnvironmentsMaster Data Management
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSCloudPythonSQLTerraform
About the role
Key responsibilities & impact- Lead the evolution of a production data platform built around dbt, Apache Airflow, Amazon Redshift, Python, and AWS
- Take ownership of the platform's architecture, reliability, and data quality
- Design, operate, maintain, and evolve production data platforms and modern data warehouse architectures
- Develop and maintain software solutions across a varied technology stack
- Navigate, troubleshoot, and improve complex dbt projects with hundreds of models and thousands of automated tests
- Design and manage Apache Airflow DAGs, operators, task groups, sensors, variables, connections, and SLAs
- Optimize Amazon Redshift schemas, distribution and sort strategies, query performance, and warehouse costs
- Build and maintain ingestion processes
- Manage data infrastructure through Terraform
- Provide technical leadership, documentation, architecture knowledge, and knowledge transfer
- Maintain and evolve a complex, business-critical data ecosystem
Requirements
What you’ll need- Extensive experience designing, operating, and evolving production data platforms and modern data warehouse architectures
- Deep hands-on experience with dbt in large-scale production environments, including project structure, model layering, macros, seeds, tests, package management, and dbt Cloud job orchestration
- Proven ability to navigate, troubleshoot, and improve complex dbt projects with hundreds of models and thousands of automated tests
- Strong production experience with Apache Airflow, including DAG design, operators, task groups, sensors, variables, connections, and SLA configuration
- Deep hands-on experience with Amazon Redshift, including schema design, distribution and sort strategies, query performance optimization, and warehouse cost management
- Experience with Redshift Serverless and understanding of RPU usage and consumption-based cost behavior
- Strong dimensional and data warehouse modeling skills, including Slowly Changing Dimensions (SCD Type 2)
- Advanced SQL skills, with the ability to understand, troubleshoot, and improve complex existing data models and queries
- Strong Python skills applied to data engineering, ingestion, orchestration, and data processing
- Experience managing data infrastructure through Terraform
- Strong understanding of data quality and automated testing strategies across data pipelines, transformations, and warehouse models
- Ability to build and maintain ingestion processes rather than relying exclusively on managed ELT platforms
- Strong ownership of technical documentation, architecture knowledge, and knowledge-transfer processes, with the ability to progressively absorb and preserve critical platform knowledge
- Experience working within established architectures, with the judgment to understand existing systems before proposing significant changes
- Experience with entity resolution, record matching, master data management, data lineage, or auditability is highly valued
- Experience with AWS Managed Workflows for Apache Airflow (MWAA) is highly valued
- Experience managing cost and performance in consumption-based data warehouse environments is valued
- Experience with regulated, compliance-driven, or high-accountability data environments is valued
- Strong technical leadership, ownership, and decision-making skills, including a clear point of view on data architecture, pipeline reliability, testing, and maintainability
- Professional English communication skills and experience working directly with client stakeholders
Benefits
Comp & perks- 100% Remote
- USD above-average salaries
- Profit Sharing Policy
- Unlimited PTOs after your first year (20 PTOs the first year)
- Equipment for your setup
- Great work/life balance
- Honest, simple, and transparent culture
- US-based clients and international teams