AI ResumeMaker
Resume
Cover Letter
Application TrackerPROLog In

Senior Data Engineer Resume Example

Data architect specialized in petabyte-scale pipelines and Snowflake. This senior-level senior data engineer resume example shows how to present your experience, skills and results so they stand up to both recruiters and applicant tracking systems.

Failed to load PDF file.

Full senior data engineer resume text

Grace Hopper II · San Francisco, CA

Professional summary

Distinguished Principal Data Engineer with 12+ years of experience architecting and optimizing petabyte-scale data ecosystems for real-time analytics and advanced machine learning. Expert in distributed processing (Spark, Flink), cloud data platforms (Snowflake, Databricks), and robust data governance. Proven ability to drive data strategy, mentor high-performing teams, and deliver transformative data solutions.

Work experience

Principal Data Architect

DataScale Corp, San Francisco, CA · Jul 2019 – Present
  • Architected and led the implementation of a global data mesh strategy across 10+ business units, enabling self-service data access and reducing time-to-insight by 60%
  • Designed and optimized a petabyte-scale data lakehouse on AWS (S3, Glue, Databricks) supporting 500+ daily active users and 100+ critical ML models
  • Reduced cloud data warehousing costs by 45% through advanced query optimization, cluster right-sizing, and strategic use of spot instances
  • Spearheaded the development of a real-time feature store using Kafka and Flink, powering low-latency recommendations and fraud detection systems
  • Implemented a comprehensive data governance framework, including metadata management, data lineage, and automated data quality checks (Great Expectations)
  • Mentored a team of 15+ data engineers and architects, fostering best practices in data modeling, pipeline development, and infrastructure-as-code (Terraform)
  • Collaborated with executive leadership to define the long-term data strategy and roadmap, aligning data initiatives with core business objectives

Senior Data Engineer

FinTech Analytics, New York, NY · Jun 2015 – Jun 2019
  • Designed and built highly scalable ETL/ELT pipelines using Python, Spark, and Airflow, ingesting data from 100+ disparate sources (APIs, databases, streams)
  • Led the migration of a legacy on-premise data warehouse to Snowflake, achieving a 10x improvement in query performance and reducing maintenance overhead by 70%
  • Developed a custom data validation and monitoring framework that proactively identified and resolved data quality issues, reducing production data errors by 80%
  • Optimized database schemas and indexing strategies for PostgreSQL and MongoDB, improving data retrieval speeds for critical reporting applications
  • Implemented CI/CD pipelines for data assets, ensuring automated testing and deployment of data models and transformations

Data Engineer

Data Insights Inc., Boston, MA · Jun 2012 – May 2015
  • Assisted in the development and maintenance of data pipelines for various client projects using SQL and basic scripting (Bash, Python)
  • Performed data cleaning, transformation, and loading into data warehouses (Redshift, SQL Server)
  • Monitored data pipeline health and troubleshoot issues, ensuring data availability for reporting teams
  • Collaborated with data analysts to understand data requirements and optimize data structures for analytical queries

Skills to put on a senior data engineer resume

  • Python
  • Spark
  • Airflow
  • SQL
  • Snowflake
  • AWS (Redshift, Glue)
  • Kafka
  • Terraform
  • NoSQL
  • Data Modeling

Education

  • Master of Science, Computer Science (Database Systems) · Stanford University · May 2015

Projects

  • Real-time Fraud Detection Pipeline: Built a low-latency data pipeline using Kafka and Spark Streaming that processes 1M events per second for fraud detection.

What makes this senior data engineer resume work

  • Put the stack and scale up front: traffic, data volume, uptime or latency numbers.
  • Pair each tool with what you used it to achieve, so keywords read as results.
  • Link to code, a portfolio or a write-up when you can.

At senior level, emphasize leadership, scope and business impact. Hiring managers look for the decisions you drove, not only the tasks you did.

Build your own senior data engineer resume

Start from this senior-level example, paste a job description, and let the AI tailor your wording and keywords.

More technology resume examples

Browse all resume examples →