Databricks Lakehouse Engineer & Analyst, Senior

Booz Allen Hamilton•McLean, VA

9d•$99,000 - $225,000•Remote

About The Position

Our U.S. government agency client is standing up a next‑generation Databricks Lakehouse environment to power real‑time fraud detection, investigative decisioning, and AI‑driven risk modeling. We are seeking an exceptional, hands‑on technical leader who can own the full architecture end‑to‑end while also guiding functional analysis, model integration, governance, and delivery in a complex federal environment. This mid-level role blends responsibilities typically spread across a Data Engineer, Platform Architect, ML Engineer, Business Analyst, and Federal Program Manager. The ideal candidate is a versatile Databricks practitioner who excels at building scalable data systems, enabling fraud operations, and ensuring compliance in a regulated federal context.

Requirements

5+ years of experience with data engineering, architecture, or ML engineering
Experience with Databricks, Delta Lake, PySpark, and structured streaming
Experience designing Bronze, Silver, or Gold architectures
Experience with fraud analytics, anomaly detection, or risk scoring
Knowledge of Unity Catalog governance
Ability to collaborate with federal stakeholders in a regulated environment
Ability to operate independently in a lean, high‑impact environment
Public Trust
Bachelor’s degree

Nice To Haves

Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Possession of exceptional cross‑functional communication skills including technical and non‑technical