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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining scalable data pipelines and analytics solutions, with a strong focus on SQL development, data modeling, and the application of GenAI/LLM techniques. Proficient in leveraging cloud platforms like AWS or GCP and distributed data systems to enhance data accessibility and quality.
Highest-signal resume keywords
Data Pipeline DevelopmentGenAI/LLM TechniquesSQL OptimizationDistributed Data PlatformsCloud Technologies (AWS/GCP)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonRuby on RailsReactKafkaSparkData ModelingData WarehousingStreaming PlatformsGenAI Coding Practices
Tools & Technologies
Amazon RedshiftSnowflakeDatabricksTrinoAirflowMetabaseCube
Industry Keywords
SaaSData ArchitectureAnalytics SolutionsMulti-Tenant SystemsIncident Response
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSDistributed SystemsGoogle Cloud PlatformKafkaPythonReactRubyRuby on RailsSparkSQL
About the role
Key responsibilities & impact- Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions, balancing data quality, business value, and speed
- Build and maintain natural language interfaces to data and analytics, applying GenAI/LLM techniques to make data more accessible across the business
- Use GenAI coding tools and practices in daily development to improve code quality, testing, and delivery speed
- Continuously evaluate new technologies that could improve and scale the team's data platform and technology stack
- Establish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support
- Support production data pipelines through on-call rotation and incident response, partnering with engineering, analytics, and business teams
- Document and maintain expertise in the technology stack and product domain, translating business needs into technical solutions with product management
- Partner across engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture
Requirements
What you’ll need- Bachelor's degree in Computer Science or related field, or equivalent professional experience
- 8+ years building reliable, high-performance, large-scale distributed systems, with an emphasis on streaming and data pipelines
- Experience working with and maintaining multi-tenant SaaS experiences
- Experience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics
- Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino
- Expertise writing, optimizing, and analyzing SQL
- Hands-on experience building and operating distributed data platforms on AWS or GCP
- Hands-on experience with streaming platforms such as Kafka and Spark
- Experience scaling data modeling and warehousing
- Proficiency in Python
- Experience with Cube or other semantic layers
- Experience with scheduling tools such as Airflow
- Familiarity with the BI tool Metabase
- Proficiency in Ruby on Rails, React, or other adjacent languages
Benefits
Comp & perks- Excellent PTO program
- Great health benefits
- Casual and friendly environment
- Remote work
- Leadership team committed to personal and professional growth