Sr. Data Engineer - Architecture

What You Need (Required Knowledge, Skills & Abilities):

Education & Experience

Bachelor's degree in Mathematics, Statistics, Computer Science, or related field

5+ years of experience as a Database Engineer, Data Engineer, or similar role

Core Data Engineering & Architecture

Experience designing, implementing, and maintaining high performant, scalable OLTP systems.

Hands-on experience and advanced knowledge of SQL (e.g., Postgres, Snowflake)

Strong experience with data modeling, data warehouses, and lakehouse architectures

Experience designing and implementing scalable data architectures, including batch and streaming pipelines

Experience building ELT pipelines with dbt and Snowflake

Intermediate to advanced Python development skills

Database Optimization & Reliability

Experience assessing and improving existing database systems, including performance tuning (indexing, query optimization, partitioning) and data quality remediation

Strong understanding of database internals and transactional systems

Experience implementing backup, recovery, and high-availability strategies

Performance Testing & Release Validation

Experience designing and implementing performance/load testing frameworks for data systems

Knowledge of benchmarking, regression testing, and release validation processes

Experience building automated testing pipelines to ensure data quality and system performance across deployments

Production Operations & Data Reliability

Experience defining and maintaining production database processes, including monitoring, alerting, and incident response

Familiarity with observability tools and practices (logging, metrics, tracing)

Strong understanding of SLAs, SLOs, and data reliability best practices

Tools & Platforms

Experience with AWS data technologies (Glue, Kinesis, Lambda)

Experience with orchestration tools (Airflow)

Experience with infrastructure-as-code (Terraform)

Knowledge of the Software Development Lifecycle

Preferred Skills & Experience:

Experience with CI/CD pipelines, especially for data systems

Experience with containerization (Docker, Kubernetes)

Knowledge of encryption, anonymization, and tokenization

Experience with open table formats and data catalogs

Familiarity with data observability tools (e.g., Monte Carlo, Datadog, Prometheus)

Who You Are (Soft Skills):

Detail-oriented, with a strong data quality mindset

Strong problem-solving and troubleshooting skills with a proactive approach to system reliability

Self-starter with a bias toward ownership and continuous improvement

Comfortable bringing structure and best practices to ambiguous or legacy environments

Thrives in a fast-paced, startup-oriented, team-focused culture

Positive, collaborative, and energetic attitude

Excellent verbal and written communication skills

Ability to clearly explain complex technical issues to both technical and non-technical audiences