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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 and implementing enterprise data architectures, including ETL/ELT processes and real-time analytics. Proficient in building AI-ready data pipelines and integrating with cloud data platforms such as AWS, Azure, or GCP.
Highest-signal resume keywords
Data Engineering ExperienceETL/ELT ProficiencyTreasure Data CDP ExpertiseReal-Time Analytics SkillsGenerative AI Data Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLETLELTData WarehousingLakehouseApache KafkaCDCIncremental Data ProcessingData Architecture Design
Tools & Technologies
Treasure DataSnowflakeDatabricksAWSAzureGCPLangChainLangGraphAzure OpenAIAWS Bedrock
Industry Keywords
Enterprise Data ArchitectureStreaming Data PipelinesEvent-Driven ArchitectureAI-Ready Data PipelinesReal-Time Analytics
Tech Stack
Tools & technologiesApacheAWSAzureCloudETLGoogle Cloud PlatformKafkaPythonSnowflakeSQL
About the role
Key responsibilities & impact- Design and implement senior-level enterprise data architectures
- Build and support ETL/ELT, batch, real-time, and streaming data pipelines
- Develop AI-ready data pipelines, RAG/vector-search infrastructure, and Generative AI data architectures
- Integrate enterprise data with cloud AI and data platforms
- Design event-driven architectures and CDC/incremental data processing solutions
- Support enterprise data warehousing, lakehouse, real-time analytics, and modern AI/ML applications
- Work with Treasure Data / Treasure Data CDP in production environments
- Implement production-grade data architecture rather than only maintaining existing ETL jobs
Requirements
What you’ll need- 10+ years of Data Engineering / Data Architecture experience
- Strong hands-on ETL/ELT, Python, SQL, and Enterprise Data Warehousing/Lakehouse experience
- Hands-on production experience with Treasure Data / Treasure Data CDP
- Real-time analytics, event-driven architecture, and streaming data pipeline experience
- Apache Kafka experience highly preferred
- Experience with Snowflake, Databricks, or equivalent cloud data platforms
- Strong experience with AWS, Azure, or GCP data engineering services
- CDC or Debezium and incremental data processing experience
- Experience designing batch and real-time enterprise data architectures
- Generative AI data engineering experience, including RAG, vector databases, LangChain/LangGraph, AI Agents, Azure OpenAI, AWS Bedrock, or similar
- Experience building AI-ready data pipelines, semantic search, or RAG infrastructure is a major plus
- Independent visa required
- Production-grade data architecture design and implementation experience, rather than only maintaining existing ETL jobs
Benefits
Comp & perks- Remote work arrangement
- Contract engagement