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Senior Data Engineer (Data Architecture)

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Onsite

Senior Data Engineer (Data Architecture)

Ladders

Senior Data Engineer (Data Architecture)

Skills

SQL QueriesData EngineeringPythonData AnalysisAWSdbtApache Airflow

2 months ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

31 August 2026

What they need


For our client, we are seeking a Senior Data Engineer (Data Architecture) to join the team of a leader in the Business Services space.

This role will focus on designing and scaling data architecture that supports reusable analytics solutions across the business. You will work closely with Product, Engineering, and client-facing teams to turn business needs into reliable data products and models. The position emphasizes building efficient pipelines, improving data quality, and creating standardized solutions that still flex to meet client-specific requirements.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $105,000 – $135,000 annually

Responsibilities

  • Design, build, and maintain scalable data pipelines and shared data products using BigQuery, dbt, and Python.
  • Collaborate with Product, Engineering, and client teams to translate business needs into effective technical solutions.
  • Identify and implement reusable models from recurring client patterns in areas like retail media and B2B.
  • Develop robust dbt models and configuration-driven solutions that balance standardization with client needs.
  • Enhance data quality through automated testing, monitoring, and observability.
  • Optimize data pipelines for scalability, performance, and cost efficiency.
  • Troubleshoot complex data pipeline issues and implement preventative measures.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
  • 5+ years of experience in data engineering, analytics engineering, data architecture, or a related field.
  • Demonstrated experience designing and delivering production data pipelines and data models independently.
  • Advanced proficiency in SQL and BigQuery with strong relational and analytical database knowledge.
  • Intermediate to advanced programming skills in Python.
  • Strong experience with dbt, including data modeling, testing, documentation, and reusable development patterns.
  • Familiarity with orchestration technologies such as Airflow, Dagster, or AWS Glue.

Benefits

  • Remote-first culture with flexible work schedules.
  • Unlimited PTO and an extended holiday break.
  • 100% paid parental leave and 401(k) matching.
  • Comprehensive medical, dental, vision, and life insurance options.
  • Short-term disability insurance and additional voluntary insurance options.
  • Annual Class Pass credits for wellness activities.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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