About The Position

The Principal Data Engineer is a senior, hands‑on technical leader responsible for designing, building, and evolving scalable, reliable, and cost‑efficient data and analytic platforms that power analytics, reporting, and advanced AI/predictive use cases. This role sets engineering standards, drives platform modernization, and mentors engineering teams while partnering closely with architecture, analytics, product, and governance stakeholders.

Nice To Haves

  • Databricks & Lakehouse Focus (Strongly Preferred)

Responsibilities

  • Lead the design and evolution of enterprise‑scale data platforms, including ingestion, transformation, storage, and consumption layers
  • Define and enforce data engineering standards, patterns, and best practices (e.g., pipeline design, testing, CI/CD, observability)
  • Serve as a technical authority on data architecture decisions, trade‑offs, and platform strategy
  • Design, build, and optimize high‑performance batch and streaming data pipelines
  • Improve reliability, performance, scalability, and cost efficiency of existing data assets
  • Implement reusable frameworks and reference architectures to accelerate delivery across teams
  • Design and operate Databricks‑based lakehouse solutions using Delta Lake, Spark, and notebooks/jobs
  • Establish best practices for Databricks workspace architecture, security, performance tuning, and cost management
  • Lead or support migrations to Databricks and modernization of legacy data pipelines
  • Partner with data governance and security teams to embed data quality checks, metadata, lineage, and access controls into pipelines
  • Ensure platforms support regulatory, compliance, and enterprise risk requirements
  • Work closely with data architects, analytic engineers, data scientists, product owners, and business stakeholders
  • Translate business and analytic requirements into scalable technical solutions
  • Influence roadmaps by tying platform investments to measurable business outcomes
  • Mentor senior and mid‑level engineers; raise the overall technical bar of the team
  • Lead by example through hands‑on contribution to critical pipelines and platform components

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

No Education Listed

Number of Employees

1-10 employees

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