Principal Databricks Software Developer

Were looking for a Senior Principal Databricks Platform Engineer to take ownership of the health reliability performance governance and cost-effectiveness of PowerPlans Databricks platform not from the sidelines but hands-on with the notebooks pipelines clusters and Unity Catalog work that shapes how teams build.

Within your first quarter youll be designing the standards teams adopt. Within six months teams will be bringing you their toughest design decisions before they build not after something breaks. This is a senior visible role where the problems are real and your judgment on reliability performance and cost will directly shape how PowerPlan runs Databricks going forward.

Were in the middle of one of the most significant transformations in our history. Decades of proven functionality are being reimagined on a modern SaaS foundation while AI becomes central to how we build deliver and evolve our products. The next generation of the PowerPlan platform is being designed right now. Join us and youll have the opportunity to influence the technology engineering practices and capabilities that will shape it for years to come.

Success will be measured by how quickly you turn platform risk into an evidence-based picture leadership can act on and by how often teams start bringing you their toughest design decisions before they build.

• Audit the platforms highest-priority assets clusters jobs pipelines notebooks and access controls and deliver an evidence-backed picture of the biggest risks within 30 days.
• Own the design of critical Databricks standards compute policies Spark configuration notebook and pipeline patterns and Unity Catalog governance and get teams to actually adopt them.
• Serve as the escalation point for complex Databricks failures performance regressions and cost anomalies digging to root cause every time.
• Turn every fix into something reusable better defaults templates reference architectures and automation instead of one-off patches.
• Become the person teams check in with before they build guiding responsible adoption of AI-assisted engineering practices along the way.

• 8 years in data engineering platform engineering or related software engineering roles including 3 years of deep hands-on Databricks experience.
• Production experience with Spark internals and performance tuning shuffle behavior query planning adaptive query execution memory pressure skew and partitioning.
• Strong working knowledge of Databricks compute options cluster policies instance pools autoscaling Photon and workload right-sizing.
• A track record of reviewing and improving notebooks jobs and pipelines built by other people quickly spotting whats driving runtime cost or reliability risk.
• Production experience with Delta Lake Structured Streaming Auto Loader and data quality practices.
• Strong command of Unity Catalog governance lineage permission models and secure handling of sensitive data.
• Experience designing resilient job orchestration including dependency management retries timeouts and alerting.
• Strong communication skills including the judgment to translate technical risk into terms stakeholders can act on.
• Bachelors degree in Computer Science Engineering or a related field or equivalent professional experience.

Preferred

• Databricks certification (Certified Data Engineer or Certified Machine Learning Associate).
• Experience with MLOps or feature-store platforms.
• Contributions to open-source data engineering tooling.

PowerPlan is an EOE

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Please note that this is a hybrid role that involves a combination of onsite work from our corporate office as well as work from home. While we strive to accommodate flexible working arrangements when sensible there will be times when onsite work is required. This could include scheduled office days team meetings client meetings or special events.