[Remote] Principal Data Engineer / Databricks
Note: The job is a remote job and is open to candidates in USA. Technology Partners is seeking a Principal Data Engineer to serve as a senior technical contributor within its Data Organization. The role focuses on designing and leading scalable data architectures and performance-critical pipelines using Databricks and Azure, while mentoring engineers, influencing standards, and accelerating cross-functional projects.
Responsibilities
- Design and implement end-to-end data architectures covering ingestion, storage, transformation, and governance using Lakehouse patterns on Databricks and Azure
- Write, review, and optimize production code to ensure performance, security, reliability, and cost efficiency
- Help define and evolve engineering and architectural standards, patterns, and reference implementations across the data organization
- Mentor and coach data engineers at all levels by conducting code reviews, pair programming, and design sessions
- Embed into cross-functional Data Engineering teams to lead or accelerate critical projects while transferring expertise and best practices
- Analyze and address technical risks, design flaws, and execution gaps, providing clear remediation strategies
- Collaborate with Enterprise Architecture and other stakeholders to ensure solutions meet security, governance, scalability, and cost standards
- Lead internal technical talks and knowledge-sharing efforts to enhance team-wide expertise
Skills
- • 3-5+ years of practical data engineering experience with a focus on scalable, enterprise-grade data platforms and pipelines
- • Near-expert proficiency with Databricks, Spark, Delta Lake, Unity Catalog, and the Azure data ecosystem
- • Demonstrated ability to design and implement comprehensive data architectures for complex business environments
- • Proven experience mentoring engineers, influencing teams through technical influence, and setting high standards for engineering excellence
- • Familiarity with modern data architecture patterns such as Lakehouse, medallion, and data mesh, along with DataOps practices
- • Bachelor's degree or equivalent practical experience
- • High School Diploma or equivalent and a valid Driver's License
- • Experience contributing across multiple teams as a technical leader or senior contributor
- • Knowledge of advanced cloud data technologies and platform evolution strategies
- • Exposure to enterprise data governance and security standards
- • Additional industry experience in large-scale data environments or related fields
Benefits
- Remote workplace arrangement
Company Overview