Staff Software Engineer

• Drive the architecture, design, and evolution of our enterprise data platform.
• Set technical direction, mentor engineers, and champion engineering excellence across the team.
• Collaborate with data architects, engineering managers, and product teams.
• Define and deliver the next generation of data products and platform capabilities at scale.
• Design and build scalable data pipelines that power analytics and machine learning.
• Own the design and evolution of workflow orchestration using Apache Airflow.
• Lead the strategy for real-time streaming ingestion using Kafka.
• Champion and advance data modeling standards across the platform.
• Define and implement observability strategy using Datadog.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in data engineering or software engineering, with at least 3+ years operating at a senior/staff level.
• Strong proficiency in Python (required) and SQL.
• Expert-level knowledge of cloud data warehouses (e.g., Snowflake, BigQuery).
• Proven track record of designing and scaling data platforms in production environments.
• Strong expertise in data modeling — dimensional modeling, star/snowflake schemas, data vault.
• Extensive experience with workflow orchestration tools (Apache Airflow preferred).
• Strong understanding of streaming technologies (Apache Kafka, Snowpipe) and event-driven architectures.
• Experience with AWS services (S3, MWAA, Glue).Proficiency with Infrastructure as Code (Terraform) and CI/CD tools (CircleCI, Harness, GitHub Actions).
• Experience with Datadog or similar monitoring and observability platforms.

Core Competencies

Demonstrates expertise in designing and evolving enterprise data platforms, with a strong focus on data modeling, workflow orchestration, and real-time streaming ingestion. Proficient in Python, SQL, and cloud data warehouses, while also championing engineering excellence and observability strategies.

Highest-signal resume keywords

• Data Engineering
• Python Programming
• Cloud Data Warehouses
• Workflow Orchestration
• Data Modeling

ATS Optimization Keywords

Hard Skills

• Python
• SQL
• Data Modeling
• Cloud Data Warehouses
• Apache Airflow
• Apache Kafka
• Infrastructure as Code
• CI/CD Tools
• Observability Strategy
• Data Pipelines

Soft Skills

• Mentoring
• Collaboration
• Leadership

Industry Keywords

• Data Platform
• Real-Time Streaming
• Event-Driven Architecture
• Dimensional Modeling
• Star Schema
• Snowflake Schema
• Data Vault

Tools & Technologies

• Datadog
• AWS
• Terraform
• CircleCI
• GitHub Actions