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Sr. Staff Data Engineer

4 days, 15 hours ago
United States
Full-time
Lead
Data Engineer
Software Development
Apache Airflow Databricks dbt GCP Prefect Python Snowflake SQL
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Archer

Archer

Archer Technologies provides enterprise governance, risk, and compliance solutions through the Archer SmartSuite framework. Additionally, Archer is designing and developing electric vertical takeoff and landing aircraft for urban air mobility networks....

Construction & Engineering
251-1K
Founded 2018
View All Jobs 30

Description

  • Own the design and evolution of the data warehouse and lakehouse architecture, including schemas, layer structure, modeling patterns, and scalability.
  • Lead data modeling efforts across key business domains, including dimensional modeling, semantic layer design, and entity relationship design.
  • Define standards for how data is structured, named, documented, and governed across the Medallion Architecture.
  • Partner with analytics engineers and business stakeholders to translate requirements into reusable data models.
  • Drive storage design, partitioning strategies, and compute optimization for query performance and cost efficiency.
  • Contribute to data governance initiatives, including lineage, cataloging, access control, and quality frameworks.
  • Build and maintain production-grade data pipelines when needed, with a focus on reliability and idempotency.
  • Participate in architecture reviews and provide senior-level judgment on data stack decisions.

Requirements

  • 7+ years of data engineering experience with demonstrated depth in data modeling and warehouse design.
  • Strong understanding of dimensional modeling, Medallion / Lakehouse architecture, and semantic layer concepts.
  • Advanced SQL skills, including complex joins, aggregations, window functions, query optimization, and schema design.
  • Experience designing and scaling data warehouses or lakehouses in cloud environments such as Snowflake, Databricks, or BigQuery.
  • Python proficiency for data transformation and pipeline work.
  • Familiarity with orchestration tools such as Airflow, Prefect, or equivalent.
  • Experience with data governance concepts such as lineage, cataloging, access control, and quality frameworks.
  • Experience with dbt or similar transformation and modeling frameworks (preferred).
  • Exposure to agentic or AI-assisted data infrastructure (preferred).
  • Experience in a fast-moving startup or aerospace/manufacturing environment (preferred).
  • Ability to work in the United States without current work visa sponsorship, as sponsorship is not available for this position.

Benefits

  • Base salary range of $207,400 to $259,200.
  • Pay-for-performance compensation culture.
  • Reasonable accommodations for applicants with physical or mental disabilities and sincerely held religious beliefs.
  • Commitment to an equitable, inclusive, and diverse workplace.
  • Equal Opportunity employment practices.

Interested in this position?

Apply directly on the company website

Apply Now

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