Senior Data Engineer

taff/Lead Data Engineer

Employment Type: Full-Time | Senior Individual Contributor

We working exclusively on an exciting opportunity for aStaff Data Engineerto lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you’ll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business functions across the company.

You’ll collaborate with engineers, product managers, and business stakeholders to architect performant, reliable, and long-term data solutions that are customer-centric and business-aligned.

What You’ll Do:

• Design and build scalable, reliable, and high-performance data systems.
• Define and drive best practices for data modeling, ETL/ELT pipelines, and real-time streaming architectures.
• Set technical direction and architectural standards across the data platform.
• Work closely with cross-functional partners to meet evolving business and analytical needs.
• Own complex technical systems end-to-end, from concept to production.
• Advocate for engineering excellence and mentor other engineers on the team.

Technical Skills:

• 8+ yearsof experience in data engineering or a related field, with a focus on building scalable data systems and platforms.
• Strong expertise with modern data tools and frameworks such asSpark,dbt,Airflow ORKafka,Databricks, andcloud-native services(AWS, GCP, or Azure).
• Deep understanding ofdata modeling,distributed systems,streaming architectures, andETL/ELT pipelines.
• Proficiency inSQLand at least one programming language such asPython,Scala, orJava.
• Demonstrated experience owning and delivering complex systems from architecture through implementation.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications:

• Experience designing data platforms that supportanalytics,machine learning, andreal-time operational workloads.
• Familiarity withdata governance,privacy, andcompliance frameworks(e.g., GDPR, HIPAA).
• Background incustomer-centricorproduct-drivenindustries such asdigital,eCommerce, orSaaS.
• Experience withinfrastructure-as-codetools likeTerraformand expertise indata observability and monitoringpractices.

Shortlisting this week....